it job board logo
  • Home
  • Find IT Jobs
  • Register CV
  • Register as Employer
  • Contact us
  • Career Advice
  • Recruiting? Post a job
  • Sign in
  • Sign up
  • Home
  • Find IT Jobs
  • Register CV
  • Register as Employer
  • Contact us
  • Career Advice
Sorry, that job is no longer available. Here are some results that may be similar to the job you were looking for.

26 jobs found

Email me jobs like this
Refine Search
Current Search
principal solutions architect data engineering
Raytheon
Sr Principal Systems Engineer - Onsite
Raytheon Tucson, Arizona
Date Posted: 2026-05-07 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Systems Engineer to support Raytheon's Advanced Technology organization. Join this highly visible team and perform highly technical assignments, directly contributing to protecting our nation and our warfighters. Advanced Technology incubates new and novel technologies and mission areas for the RTX business, captures new programs, and executes extremely unique special projects. The team welcomes you to join our tradition of excellence through innovation and collaboration. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a various portfolio. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with programming languages such as Python, MATLAB, and/or C++, and familiarity with both Windows and Linux environments. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
06/08/2026
Full time
Date Posted: 2026-05-07 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Top Secret Security Clearance Status: Active and existing security clearance required on day 1 At Raytheon, the foundation of everything we do is rooted in our values and a higher calling to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. Raytheon's Integrated Solutions Modeling and Architecture Directorate (ISMA) performs customer focused operational analysis, simulation, mission planning and architecture development activities. Supporting this mission are teams driving flexible integrated solutions crossing all product areas (sensors, effectors, command and control, logistics and operations), developing tools and methods to evaluate system level studies and visualization based on customer requirements. The Operations and Mission Analysis (Southwest) department is currently seeking a Systems Engineer to support Raytheon's Advanced Technology organization. Join this highly visible team and perform highly technical assignments, directly contributing to protecting our nation and our warfighters. Advanced Technology incubates new and novel technologies and mission areas for the RTX business, captures new programs, and executes extremely unique special projects. The team welcomes you to join our tradition of excellence through innovation and collaboration. This is an onsite role located in Tucson, AZ. What You Will Do You will join a team of engineers and analysts to realize team objectives: Tasking is expected to include a mix of vehicle design and system sizing, mission performance analysis, and trajectory optimization. Analyze notional missions and hardware for feasibility and engage with engineers across disciplines to improve models and understand performance drivers. Develop common mission analysis, performance analysis, and mission planning toolsets for a various portfolio. Utilize grid computing infrastructure to enable generation and analysis of large datasets Produce visualizations of complex systems and mission CONOPs in STK or similar tools. Coordinate with product line management and customers Work closely with programs & AT leadership to develop concepts and mature technologies for new business development and capture. Opportunities to pursue IRAD funding and author intellectual property disclosures. Engage directly in mission planning application software development and testing Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 10 years of prior relevant experience. Depth in at least one system-level or subsystem-level technical domain: Guidance, Navigation, and Control Orbital Mechanics Mission Planning Mission Analysis / Performance Analysis Satellite Technology Multidisciplinary design, System-of-Systems design Experience with programming languages such as Python, MATLAB, and/or C++, and familiarity with both Windows and Linux environments. Experience in one or more of the following skill areas: System performance, CONOPS Algorithms and signal processing Modeling and simulation (i.e., 6-DOF) Active and transferable Top Secret U.S. government issued security clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Prefer Advanced Degree in STEM (and can be considered as additional years of experience) An understanding of vehicle conceptual design, advanced design methods, numerical optimization methods, and data analytics. Experience in building physics-based models and choosing an appropriate fidelity for the questions being asked. Highly self-motivated and independent work ethic. Ability to question data and address root cause issues. Familiarity with Git version control and SLURM grid computing infrastructure. Experience with Ansys STK What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Location: Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Software Engineer Principal (227136)
Placement Services USA, Inc. Scottsdale, Arizona
Requires eight (8) years of progressive experience with software development. Requires industry experience and demonstrated proficiency with Informatica MDM. Requires industry experience and demonstrated proficiency with Hub configurations, including data modeling and data mappings (Landing, staging, and Base Objects). Industry experience and demonstrated proficiency with data validation. Industry experience and demonstrated proficiency with Match and Merge rules. Industry experience and demonstrated proficiency with SIF Framework. Industry experience and demonstrated proficiency with batch jobs. Requires industry experience with: (1) AWS and cloud architecture; (2) Code promotion activities and best practices; (3) Data integration, both real-time and batch; (4) Relational databases and SQL; and (5) Data quality and governance solutions. U.S. Bachelors degree or foreign academic equivalent in Computer Science, Information Technology, IT Software Engineering, or a related technical field, or equivalent experience Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
01/15/2026
Requires eight (8) years of progressive experience with software development. Requires industry experience and demonstrated proficiency with Informatica MDM. Requires industry experience and demonstrated proficiency with Hub configurations, including data modeling and data mappings (Landing, staging, and Base Objects). Industry experience and demonstrated proficiency with data validation. Industry experience and demonstrated proficiency with Match and Merge rules. Industry experience and demonstrated proficiency with SIF Framework. Industry experience and demonstrated proficiency with batch jobs. Requires industry experience with: (1) AWS and cloud architecture; (2) Code promotion activities and best practices; (3) Data integration, both real-time and batch; (4) Relational databases and SQL; and (5) Data quality and governance solutions. U.S. Bachelors degree or foreign academic equivalent in Computer Science, Information Technology, IT Software Engineering, or a related technical field, or equivalent experience Please send us your resume via email at candidates (at) placementservicesusa (dot) com with reference . Do not copy and paste your resume in the body email. Please attach it as a Word or PDF document. Thank you.
Research Info Systems Engineer - Principal Professional
InsideHigherEd Atlanta, Georgia
Job Title: Research Info Systems Engineer - Principal Professional Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 293715 Job Summary The Research Information Systems Engineer is responsible for designing, implementing, and maintaining advanced research systems and solutions. This role involves engineering systems and automation, providing technical support, and ensuring the reliability, efficiency, and compliance of research systems and applications. This role collaborates with cross-functional teams to optimize research processes and support the organization's research objectives. Responsibilities Job Duty 1 - Design and optimize systems and algorithms for data extraction, processing, and decision-making. Develop and implement intelligent automation, infrastructure as code, and CI/CD solutions to streamline research workflows. Conduct automation testing and validation to ensure accuracy and compatibility with existing systems. Serve as a resource and Subject Matter Expert (SME) for related engineering tools and technologies. Job Duty 9 - Provide training, guidance, and mentorship to enhance technical skills and knowledge of coworkers and stakeholders. Offer user training, support, and assistance to help end-users navigate research infrastructure systems and applications. Job Duty 10 - Perform other job-related duties as assigned. Job Duty 2 - Provide specialized technical support for complex research infrastructure systems and applications. Diagnose and resolve technical issues and performance bottlenecks. Offer guidance and training to end-users and technical support associates. Provide subject matter expertise and make other significant contributions to research projects. Job Duty 3 - Design, develop, implement, and maintain infrastructure, applications, and systems to meet requirements and enable new capabilities. Configure, deploy, and troubleshoot systems, networks, and software to ensure reliable and efficient operations. Conduct system analysis, performance tuning, and optimization to enhance the performance and scalability of research infrastructure systems. Test and evaluate solutions, perform quality assurance checks, and ensure compliance with technical standards. Job Duty 4 - Collaborate with researchers, process owners, and technical teams to identify technology needs and requirements. Define and prioritize product features, requirements, and user stories based on research needs and feedback. Participate in project planning, requirement gathering, and implementation of research infrastructure solutions. Communicate updates, changes, and plans to stakeholders and internal teams. Job Duty 5 - Document system configurations, technical specifications, and implementation procedures. Maintain automation documentation and track changes to support governance. Manage change control processes to ensure systematic and controlled implementation of changes. Design, develop, and implement comprehensive IT business continuity and disaster recovery (BC/DR) strategies to ensure the protection of critical research systems, applications, and data. Ensure that business continuity plans are tailored to meet regulatory requirements for safeguarding research data, including Controlled Unclassified Information (CUI). Job Duty 6 - Ensure adherence to technical standards and best practices. Ensure continuous compliance with governance, security, and data privacy standards. Support system governance, compliance, and security measures to ensure system integrity and quality. Job Duty 7 - Stay informed about the latest trends and technologies in research infrastructure and automation. Continuously monitor and optimize infrastructure performance through data analysis and improvement cycles. Drive innovation by integrating new technologies and methodologies into research processes. Job Duty 8 - Conduct market research, customer interviews, and usability studies to gather insights and inform infrastructure decisions. Translate research requirements into actionable tasks, user stories, and acceptance criteria for development teams. Manage service backlogs, prioritize feature development, and ensure timely delivery of infrastructure increments. Conduct user acceptance testing, validate infrastructure functionality, and gather feedback for improvements. Required Qualifications Educational Requirements Bachelor's Degree in related discipline or equivalent combination of education and experience. Required Experience Eight or more years of relevant experience. Preferred Qualifications Experience administering enterprise-class storage (e.g. iXsystems, NetApp E-Series, NetApp ONTAP, NetApp Data Infrastructure Insights, NetApp Active IQ Unified Manager, NetApp StorageGRID) Experience implementing and supporting Ceph, CIFS, DFS, with iSCSI, GlusterFS, NFS, and S3 storage protocols Experience implementing automation solutions (e.g. Ansible, Python, Terraform) Experience supporting Enterprise Business Continuity and Disaster Recovery initiatives (e.g. DPM, Kasten, Veeam) Experience supporting storage needs for environments using Microsoft Hyper-V, Nutanix, and VMWare Experience with enterprise-class monitoring tools (e.g. Grafana, Nagios, Prometheus, Zabbix) Experience supporting Kubernetes container storage (e.g. Longhorn, Trident, HPE CSI, Nutanix CSI, vSphere CSI) Experience architecting and hardening storage solutions in highly regulated environments (e.g. DoD, Financial, Healthcare) Other Information This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is considered a position of trust. This position does not require a purchasing card (P-Card). This position will not travel This position requires security clearance. This position requires U.S. Citizenship.
01/14/2026
Full time
Job Title: Research Info Systems Engineer - Principal Professional Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 293715 Job Summary The Research Information Systems Engineer is responsible for designing, implementing, and maintaining advanced research systems and solutions. This role involves engineering systems and automation, providing technical support, and ensuring the reliability, efficiency, and compliance of research systems and applications. This role collaborates with cross-functional teams to optimize research processes and support the organization's research objectives. Responsibilities Job Duty 1 - Design and optimize systems and algorithms for data extraction, processing, and decision-making. Develop and implement intelligent automation, infrastructure as code, and CI/CD solutions to streamline research workflows. Conduct automation testing and validation to ensure accuracy and compatibility with existing systems. Serve as a resource and Subject Matter Expert (SME) for related engineering tools and technologies. Job Duty 9 - Provide training, guidance, and mentorship to enhance technical skills and knowledge of coworkers and stakeholders. Offer user training, support, and assistance to help end-users navigate research infrastructure systems and applications. Job Duty 10 - Perform other job-related duties as assigned. Job Duty 2 - Provide specialized technical support for complex research infrastructure systems and applications. Diagnose and resolve technical issues and performance bottlenecks. Offer guidance and training to end-users and technical support associates. Provide subject matter expertise and make other significant contributions to research projects. Job Duty 3 - Design, develop, implement, and maintain infrastructure, applications, and systems to meet requirements and enable new capabilities. Configure, deploy, and troubleshoot systems, networks, and software to ensure reliable and efficient operations. Conduct system analysis, performance tuning, and optimization to enhance the performance and scalability of research infrastructure systems. Test and evaluate solutions, perform quality assurance checks, and ensure compliance with technical standards. Job Duty 4 - Collaborate with researchers, process owners, and technical teams to identify technology needs and requirements. Define and prioritize product features, requirements, and user stories based on research needs and feedback. Participate in project planning, requirement gathering, and implementation of research infrastructure solutions. Communicate updates, changes, and plans to stakeholders and internal teams. Job Duty 5 - Document system configurations, technical specifications, and implementation procedures. Maintain automation documentation and track changes to support governance. Manage change control processes to ensure systematic and controlled implementation of changes. Design, develop, and implement comprehensive IT business continuity and disaster recovery (BC/DR) strategies to ensure the protection of critical research systems, applications, and data. Ensure that business continuity plans are tailored to meet regulatory requirements for safeguarding research data, including Controlled Unclassified Information (CUI). Job Duty 6 - Ensure adherence to technical standards and best practices. Ensure continuous compliance with governance, security, and data privacy standards. Support system governance, compliance, and security measures to ensure system integrity and quality. Job Duty 7 - Stay informed about the latest trends and technologies in research infrastructure and automation. Continuously monitor and optimize infrastructure performance through data analysis and improvement cycles. Drive innovation by integrating new technologies and methodologies into research processes. Job Duty 8 - Conduct market research, customer interviews, and usability studies to gather insights and inform infrastructure decisions. Translate research requirements into actionable tasks, user stories, and acceptance criteria for development teams. Manage service backlogs, prioritize feature development, and ensure timely delivery of infrastructure increments. Conduct user acceptance testing, validate infrastructure functionality, and gather feedback for improvements. Required Qualifications Educational Requirements Bachelor's Degree in related discipline or equivalent combination of education and experience. Required Experience Eight or more years of relevant experience. Preferred Qualifications Experience administering enterprise-class storage (e.g. iXsystems, NetApp E-Series, NetApp ONTAP, NetApp Data Infrastructure Insights, NetApp Active IQ Unified Manager, NetApp StorageGRID) Experience implementing and supporting Ceph, CIFS, DFS, with iSCSI, GlusterFS, NFS, and S3 storage protocols Experience implementing automation solutions (e.g. Ansible, Python, Terraform) Experience supporting Enterprise Business Continuity and Disaster Recovery initiatives (e.g. DPM, Kasten, Veeam) Experience supporting storage needs for environments using Microsoft Hyper-V, Nutanix, and VMWare Experience with enterprise-class monitoring tools (e.g. Grafana, Nagios, Prometheus, Zabbix) Experience supporting Kubernetes container storage (e.g. Longhorn, Trident, HPE CSI, Nutanix CSI, vSphere CSI) Experience architecting and hardening storage solutions in highly regulated environments (e.g. DoD, Financial, Healthcare) Other Information This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is considered a position of trust. This position does not require a purchasing card (P-Card). This position will not travel This position requires security clearance. This position requires U.S. Citizenship.
Business Intelligence Analyst II
InsideHigherEd Washington, Washington DC
The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission. At Howard University, we prioritize well-being and professional growth. Here is what we offer: Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support Work-Life Balance: PTO, paid holidays, flexible work arrangements Financial Wellness: Competitive salary, 403(b) with company match Professional Development: Ongoing training, tuition reimbursement, and career advancement paths Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture Join Howard University and thrive with us! BASIC FUNCTION: The Business Intelligence (BI) Analyst II is responsible for supporting organizational decision-making through data analysis, report development, dashboard creation, and interpretation of business performance metrics. This role includes gathering requirements, designing and maintaining BI solutions, identifying trends, and providing actionable insights to stakeholders across clinical, operational, and administrative departments. The BI Analyst II plays a key role in enhancing data-driven strategies and performance improvement initiatives throughout the organization. SUPERVISORY ACCOUNTABILITIES: None NATURE AND SCOPE: Internal contacts include hospital administrators, clinical and research staff, faculty, and IT personnel. External contacts include technology vendors, auditors, and regulatory agencies. PRINCIPAL ACCOUNTABILITIES: Collaborates with departments to gather, define, and document reporting and dashboard requirements aligned with business objectives. Designs, develops, and maintains interactive dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar platforms. Transforms complex datasets into clear, concise reports that support decision-making for leadership and operational teams. Writes SQL queries and performs data extraction, transformation, and loading (ETL) from various data sources. Performs data validation and ensures accuracy, consistency, and integrity of reporting outputs. Analyzes key performance indicators (KPIs) and trends to support continuous improvement in clinical and administrative workflows. Supports data governance and standardization by documenting data sources, definitions, and metadata. Partners with IT, finance, clinical departments, and external vendors to integrate data from multiple systems (e.g., EHR, ERP, HRIS). Provides end-user support and training for dashboard and reporting tools. Develops and maintains business process documentation and user manuals related to BI systems. Participates in strategic projects, including quality improvement, population health management, and operational efficiency initiatives. Ensures HIPAA and data privacy compliance when handling sensitive data. Assists with evaluating new BI tools or enhancements and makes recommendations based on business needs and technology trends. Stays current with industry best practices, BI methodologies, and emerging technologies. May represent the organization in BI user groups, training sessions, or vendor meetings. Performs additional duties as assigned that support the mission and goals of the department. CORE COMPETENCIES: Strong attention to detail with the ability to learn new tools and processes quickly. Demonstrated ability to deliver projects in a timely and customer-focused manner. Demonstrated analytical and critical thinking skills to assess complex data, identify patterns, and recommend solutions. Ability to interpret and transform business needs into effective data models and actionable insights. Working knowledge of data visualization tools (e.g., Power BI, Tableau) and reporting environments. Proficiency in SQL and relational database systems (e.g., SQL Server, Oracle). Familiarity with data warehousing concepts, ETL processes, and BI architecture. Knowledge of data governance principles and metadata documentation practices. Ability to work tactfully and effectively with team members, the vendor, and the user community. Understanding of healthcare data models and familiarity with enterprise resource planning (ERP), electronic health records (EHR), hospital operations, and workflows is preferred. Professional demeanor and excellent interpersonal skills to collaborate effectively with cross-functional teams, stakeholders, and external vendors. Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment. MINIMUM REQUIREMENTS: Education: Associate degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field required. Bachelor's degree preferred. Experience: Minimum of 2-3 years of experience working in a data analysis, business intelligence, or reporting role. Experience with data tools such as SQL, Power BI, Tableau, or equivalent required. Healthcare or hospital-related data experience is strongly preferred. Experience supporting system implementation, data integration, and cross-functional collaboration is desirable. Certifications (one or more preferred): None required. Certifications in Power BI, Tableau, SQL, or related BI tools are preferred. Other Requirements: Must be available for occasional on-call or after-hours support as needed. Compliance Salary Range Disclosure Compensation Range: $110,000 - $120,000
01/14/2026
Full time
The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff "for fit" makes significant contributions to Howard University's overall mission. At Howard University, we prioritize well-being and professional growth. Here is what we offer: Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support Work-Life Balance: PTO, paid holidays, flexible work arrangements Financial Wellness: Competitive salary, 403(b) with company match Professional Development: Ongoing training, tuition reimbursement, and career advancement paths Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture Join Howard University and thrive with us! BASIC FUNCTION: The Business Intelligence (BI) Analyst II is responsible for supporting organizational decision-making through data analysis, report development, dashboard creation, and interpretation of business performance metrics. This role includes gathering requirements, designing and maintaining BI solutions, identifying trends, and providing actionable insights to stakeholders across clinical, operational, and administrative departments. The BI Analyst II plays a key role in enhancing data-driven strategies and performance improvement initiatives throughout the organization. SUPERVISORY ACCOUNTABILITIES: None NATURE AND SCOPE: Internal contacts include hospital administrators, clinical and research staff, faculty, and IT personnel. External contacts include technology vendors, auditors, and regulatory agencies. PRINCIPAL ACCOUNTABILITIES: Collaborates with departments to gather, define, and document reporting and dashboard requirements aligned with business objectives. Designs, develops, and maintains interactive dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar platforms. Transforms complex datasets into clear, concise reports that support decision-making for leadership and operational teams. Writes SQL queries and performs data extraction, transformation, and loading (ETL) from various data sources. Performs data validation and ensures accuracy, consistency, and integrity of reporting outputs. Analyzes key performance indicators (KPIs) and trends to support continuous improvement in clinical and administrative workflows. Supports data governance and standardization by documenting data sources, definitions, and metadata. Partners with IT, finance, clinical departments, and external vendors to integrate data from multiple systems (e.g., EHR, ERP, HRIS). Provides end-user support and training for dashboard and reporting tools. Develops and maintains business process documentation and user manuals related to BI systems. Participates in strategic projects, including quality improvement, population health management, and operational efficiency initiatives. Ensures HIPAA and data privacy compliance when handling sensitive data. Assists with evaluating new BI tools or enhancements and makes recommendations based on business needs and technology trends. Stays current with industry best practices, BI methodologies, and emerging technologies. May represent the organization in BI user groups, training sessions, or vendor meetings. Performs additional duties as assigned that support the mission and goals of the department. CORE COMPETENCIES: Strong attention to detail with the ability to learn new tools and processes quickly. Demonstrated ability to deliver projects in a timely and customer-focused manner. Demonstrated analytical and critical thinking skills to assess complex data, identify patterns, and recommend solutions. Ability to interpret and transform business needs into effective data models and actionable insights. Working knowledge of data visualization tools (e.g., Power BI, Tableau) and reporting environments. Proficiency in SQL and relational database systems (e.g., SQL Server, Oracle). Familiarity with data warehousing concepts, ETL processes, and BI architecture. Knowledge of data governance principles and metadata documentation practices. Ability to work tactfully and effectively with team members, the vendor, and the user community. Understanding of healthcare data models and familiarity with enterprise resource planning (ERP), electronic health records (EHR), hospital operations, and workflows is preferred. Professional demeanor and excellent interpersonal skills to collaborate effectively with cross-functional teams, stakeholders, and external vendors. Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment. MINIMUM REQUIREMENTS: Education: Associate degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field required. Bachelor's degree preferred. Experience: Minimum of 2-3 years of experience working in a data analysis, business intelligence, or reporting role. Experience with data tools such as SQL, Power BI, Tableau, or equivalent required. Healthcare or hospital-related data experience is strongly preferred. Experience supporting system implementation, data integration, and cross-functional collaboration is desirable. Certifications (one or more preferred): None required. Certifications in Power BI, Tableau, SQL, or related BI tools are preferred. Other Requirements: Must be available for occasional on-call or after-hours support as needed. Compliance Salary Range Disclosure Compensation Range: $110,000 - $120,000
Principal Product Manager, Content Mobilization-Disney Digital Entertainment
Disney Experiences Orlando, Florida
About The Role & Team The Walt Disney Company is seeking a strategic, entrepreneurial and collaborative Principal Product Manager, Content Mobilization to lead strategic consumer experience initiatives for our partnership with Epic Games in the development of an expansive digital universe connected to Fortnite. Partnering closely with the VP of Content Mobilization, the Product Manager will define and execute product strategies that integrate creative, technical, and operational elements-bridging user experience design, systems architecture, and guest experience across Disney Digital Entertainment and other divisions of The Walt Disney Company ("TWDC") and Epic Games. The ideal candidate will develop end-to-end consumer journeys for initiatives across multiple physical and digital touchpoints and will combine deep product management expertise, technical fluency, and a passion for creating seamless, story-driven consumer journeys that blend entertainment, interactivity, and innovation. This role requires strong product and project management skills, analytical thinking, and the ability to influence, collaborate and gain alignment across divisional task forces. Candidate should c hampion a culture of customer-centricity, agility, and results-oriented delivery. Key Responsibilities: Strategic Alignment and Execution: Drive alignment of product vision and creating a strategy, and execution plan across multiple teams to ensure cohesive end-to-end consumer journeys between Epic Games and TWDC environments with accountability for cross-organizational integration and long-term planning. Platform and Product Experiences: Translate high-level creative and business goals into seamless, connected user experiences, ensuring that storytelling, interactivity, and operational elements across platforms deliver a unified brand experience at scale across multiple business units. Cross-Organizational Partnerships: Partner with executives, product managers, engineers, game designers, and operations teams to synchronize roadmaps, define dependencies, and ensure seamless integration across systems, content, and guest touchpoints while providing strategic guidance and influencing decisions across partner organizations. Data Optimization and Product Planning: Lead strategy with technical leads to identify system dependencies, data flows, and integration points and assess technical implications for long range product planning. Technical/Operational Requirements: Define technical and operational requirements and project manage deliverables to ensure alignment with business goals and guest experience outcomes while overseeing cross-functional execution across complex, multi-team programs. Stakeholder Collaboration: Act as the key partner between TWDC divisions, Epic Games, and internal stakeholders showcase key milestones, risks, and decision points. Identify solutions and facilitate communication and alignment through clear documentation and executive reporting with an emphasis on enterprise-wide visibility and influence. Performance Monitoring: Define KPIs and success metrics based on analytics and consumer insights. Monitor performance, gather feedback, and drive refinements that enhance both digital and physical guest engagement with accountability for informing executive investment and prioritization decisions. Product Roadmap: Apply understanding of emerging technologies, digital ecosystems, and consumer behavior to inform future product roadmaps and cross-platform experience strategies and serve as a subject matter expert advising senior leadership on market and technology trends. Required Qualifications & Skills 10+ years of experience in Product Management, including end-to-end ownership of digital or technology-enabled consumer experiences with demonstrated leadership of large-scale, multi-stakeholder initiatives. Proven success managing initiatives that span creative development, technical systems, and operational delivery (e.g., digital entertainment, gaming, Parks, or connected experiences) with measurable impact at a divisional or enterprise level. Strong technical fluency-comfortable working with engineering teams, understanding APIs, systems integration, and software development processes at a depth sufficient to influence integration decisions. Experience defining product strategies, writing detailed product and technical requirements, and leading agile delivery teams across complex or ambiguous problem spaces. Demonstrated ability to navigate and influence within a large, matrixed organization at senior levels, driving alignment across competing priorities. Exceptional leadership, analytical, and communication skills. Passion for Disney storytelling, immersive entertainment, and innovation across digital and physical experiences. Willingness to travel as needed. Experience with gaming, interactive media, or connected ecosystem products (e.g., identity systems, digital rewards, or data-driven engagement). Familiarity with park operations, guest experience technology, or cross-platform entertainment initiatives. Knowledge of agile methodologies and tools (e.g., Jira, Confluence, Airtable, Smartsheet, Miro). Education: Bachelor's degree required in technical field; MBA or advanced technical degree preferred. Additional Information Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Glendale, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
01/14/2026
Full time
About The Role & Team The Walt Disney Company is seeking a strategic, entrepreneurial and collaborative Principal Product Manager, Content Mobilization to lead strategic consumer experience initiatives for our partnership with Epic Games in the development of an expansive digital universe connected to Fortnite. Partnering closely with the VP of Content Mobilization, the Product Manager will define and execute product strategies that integrate creative, technical, and operational elements-bridging user experience design, systems architecture, and guest experience across Disney Digital Entertainment and other divisions of The Walt Disney Company ("TWDC") and Epic Games. The ideal candidate will develop end-to-end consumer journeys for initiatives across multiple physical and digital touchpoints and will combine deep product management expertise, technical fluency, and a passion for creating seamless, story-driven consumer journeys that blend entertainment, interactivity, and innovation. This role requires strong product and project management skills, analytical thinking, and the ability to influence, collaborate and gain alignment across divisional task forces. Candidate should c hampion a culture of customer-centricity, agility, and results-oriented delivery. Key Responsibilities: Strategic Alignment and Execution: Drive alignment of product vision and creating a strategy, and execution plan across multiple teams to ensure cohesive end-to-end consumer journeys between Epic Games and TWDC environments with accountability for cross-organizational integration and long-term planning. Platform and Product Experiences: Translate high-level creative and business goals into seamless, connected user experiences, ensuring that storytelling, interactivity, and operational elements across platforms deliver a unified brand experience at scale across multiple business units. Cross-Organizational Partnerships: Partner with executives, product managers, engineers, game designers, and operations teams to synchronize roadmaps, define dependencies, and ensure seamless integration across systems, content, and guest touchpoints while providing strategic guidance and influencing decisions across partner organizations. Data Optimization and Product Planning: Lead strategy with technical leads to identify system dependencies, data flows, and integration points and assess technical implications for long range product planning. Technical/Operational Requirements: Define technical and operational requirements and project manage deliverables to ensure alignment with business goals and guest experience outcomes while overseeing cross-functional execution across complex, multi-team programs. Stakeholder Collaboration: Act as the key partner between TWDC divisions, Epic Games, and internal stakeholders showcase key milestones, risks, and decision points. Identify solutions and facilitate communication and alignment through clear documentation and executive reporting with an emphasis on enterprise-wide visibility and influence. Performance Monitoring: Define KPIs and success metrics based on analytics and consumer insights. Monitor performance, gather feedback, and drive refinements that enhance both digital and physical guest engagement with accountability for informing executive investment and prioritization decisions. Product Roadmap: Apply understanding of emerging technologies, digital ecosystems, and consumer behavior to inform future product roadmaps and cross-platform experience strategies and serve as a subject matter expert advising senior leadership on market and technology trends. Required Qualifications & Skills 10+ years of experience in Product Management, including end-to-end ownership of digital or technology-enabled consumer experiences with demonstrated leadership of large-scale, multi-stakeholder initiatives. Proven success managing initiatives that span creative development, technical systems, and operational delivery (e.g., digital entertainment, gaming, Parks, or connected experiences) with measurable impact at a divisional or enterprise level. Strong technical fluency-comfortable working with engineering teams, understanding APIs, systems integration, and software development processes at a depth sufficient to influence integration decisions. Experience defining product strategies, writing detailed product and technical requirements, and leading agile delivery teams across complex or ambiguous problem spaces. Demonstrated ability to navigate and influence within a large, matrixed organization at senior levels, driving alignment across competing priorities. Exceptional leadership, analytical, and communication skills. Passion for Disney storytelling, immersive entertainment, and innovation across digital and physical experiences. Willingness to travel as needed. Experience with gaming, interactive media, or connected ecosystem products (e.g., identity systems, digital rewards, or data-driven engagement). Familiarity with park operations, guest experience technology, or cross-platform entertainment initiatives. Knowledge of agile methodologies and tools (e.g., Jira, Confluence, Airtable, Smartsheet, Miro). Education: Bachelor's degree required in technical field; MBA or advanced technical degree preferred. Additional Information Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Glendale, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Principal Product Manager, Content Mobilization-Disney Digital Entertainment
Disney Experiences Glendale, California
About The Role & Team The Walt Disney Company is seeking a strategic, entrepreneurial and collaborative Principal Product Manager, Content Mobilization to lead strategic consumer experience initiatives for our partnership with Epic Games in the development of an expansive digital universe connected to Fortnite. Partnering closely with the VP of Content Mobilization, the Product Manager will define and execute product strategies that integrate creative, technical, and operational elements-bridging user experience design, systems architecture, and guest experience across Disney Digital Entertainment and other divisions of The Walt Disney Company ("TWDC") and Epic Games. The ideal candidate will develop end-to-end consumer journeys for initiatives across multiple physical and digital touchpoints and will combine deep product management expertise, technical fluency, and a passion for creating seamless, story-driven consumer journeys that blend entertainment, interactivity, and innovation. This role requires strong product and project management skills, analytical thinking, and the ability to influence, collaborate and gain alignment across divisional task forces. Candidate should c hampion a culture of customer-centricity, agility, and results-oriented delivery. Key Responsibilities: Strategic Alignment and Execution: Drive alignment of product vision and creating a strategy, and execution plan across multiple teams to ensure cohesive end-to-end consumer journeys between Epic Games and TWDC environments with accountability for cross-organizational integration and long-term planning. Platform and Product Experiences: Translate high-level creative and business goals into seamless, connected user experiences, ensuring that storytelling, interactivity, and operational elements across platforms deliver a unified brand experience at scale across multiple business units. Cross-Organizational Partnerships: Partner with executives, product managers, engineers, game designers, and operations teams to synchronize roadmaps, define dependencies, and ensure seamless integration across systems, content, and guest touchpoints while providing strategic guidance and influencing decisions across partner organizations. Data Optimization and Product Planning: Lead strategy with technical leads to identify system dependencies, data flows, and integration points and assess technical implications for long range product planning. Technical/Operational Requirements: Define technical and operational requirements and project manage deliverables to ensure alignment with business goals and guest experience outcomes while overseeing cross-functional execution across complex, multi-team programs. Stakeholder Collaboration: Act as the key partner between TWDC divisions, Epic Games, and internal stakeholders showcase key milestones, risks, and decision points. Identify solutions and facilitate communication and alignment through clear documentation and executive reporting with an emphasis on enterprise-wide visibility and influence. Performance Monitoring: Define KPIs and success metrics based on analytics and consumer insights. Monitor performance, gather feedback, and drive refinements that enhance both digital and physical guest engagement with accountability for informing executive investment and prioritization decisions. Product Roadmap: Apply understanding of emerging technologies, digital ecosystems, and consumer behavior to inform future product roadmaps and cross-platform experience strategies and serve as a subject matter expert advising senior leadership on market and technology trends. Required Qualifications & Skills 10+ years of experience in Product Management, including end-to-end ownership of digital or technology-enabled consumer experiences with demonstrated leadership of large-scale, multi-stakeholder initiatives. Proven success managing initiatives that span creative development, technical systems, and operational delivery (e.g., digital entertainment, gaming, Parks, or connected experiences) with measurable impact at a divisional or enterprise level. Strong technical fluency-comfortable working with engineering teams, understanding APIs, systems integration, and software development processes at a depth sufficient to influence integration decisions. Experience defining product strategies, writing detailed product and technical requirements, and leading agile delivery teams across complex or ambiguous problem spaces. Demonstrated ability to navigate and influence within a large, matrixed organization at senior levels, driving alignment across competing priorities. Exceptional leadership, analytical, and communication skills. Passion for Disney storytelling, immersive entertainment, and innovation across digital and physical experiences. Willingness to travel as needed. Experience with gaming, interactive media, or connected ecosystem products (e.g., identity systems, digital rewards, or data-driven engagement). Familiarity with park operations, guest experience technology, or cross-platform entertainment initiatives. Knowledge of agile methodologies and tools (e.g., Jira, Confluence, Airtable, Smartsheet, Miro). Education: Bachelor's degree required in technical field; MBA or advanced technical degree preferred. Additional Information Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Glendale, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
01/14/2026
Full time
About The Role & Team The Walt Disney Company is seeking a strategic, entrepreneurial and collaborative Principal Product Manager, Content Mobilization to lead strategic consumer experience initiatives for our partnership with Epic Games in the development of an expansive digital universe connected to Fortnite. Partnering closely with the VP of Content Mobilization, the Product Manager will define and execute product strategies that integrate creative, technical, and operational elements-bridging user experience design, systems architecture, and guest experience across Disney Digital Entertainment and other divisions of The Walt Disney Company ("TWDC") and Epic Games. The ideal candidate will develop end-to-end consumer journeys for initiatives across multiple physical and digital touchpoints and will combine deep product management expertise, technical fluency, and a passion for creating seamless, story-driven consumer journeys that blend entertainment, interactivity, and innovation. This role requires strong product and project management skills, analytical thinking, and the ability to influence, collaborate and gain alignment across divisional task forces. Candidate should c hampion a culture of customer-centricity, agility, and results-oriented delivery. Key Responsibilities: Strategic Alignment and Execution: Drive alignment of product vision and creating a strategy, and execution plan across multiple teams to ensure cohesive end-to-end consumer journeys between Epic Games and TWDC environments with accountability for cross-organizational integration and long-term planning. Platform and Product Experiences: Translate high-level creative and business goals into seamless, connected user experiences, ensuring that storytelling, interactivity, and operational elements across platforms deliver a unified brand experience at scale across multiple business units. Cross-Organizational Partnerships: Partner with executives, product managers, engineers, game designers, and operations teams to synchronize roadmaps, define dependencies, and ensure seamless integration across systems, content, and guest touchpoints while providing strategic guidance and influencing decisions across partner organizations. Data Optimization and Product Planning: Lead strategy with technical leads to identify system dependencies, data flows, and integration points and assess technical implications for long range product planning. Technical/Operational Requirements: Define technical and operational requirements and project manage deliverables to ensure alignment with business goals and guest experience outcomes while overseeing cross-functional execution across complex, multi-team programs. Stakeholder Collaboration: Act as the key partner between TWDC divisions, Epic Games, and internal stakeholders showcase key milestones, risks, and decision points. Identify solutions and facilitate communication and alignment through clear documentation and executive reporting with an emphasis on enterprise-wide visibility and influence. Performance Monitoring: Define KPIs and success metrics based on analytics and consumer insights. Monitor performance, gather feedback, and drive refinements that enhance both digital and physical guest engagement with accountability for informing executive investment and prioritization decisions. Product Roadmap: Apply understanding of emerging technologies, digital ecosystems, and consumer behavior to inform future product roadmaps and cross-platform experience strategies and serve as a subject matter expert advising senior leadership on market and technology trends. Required Qualifications & Skills 10+ years of experience in Product Management, including end-to-end ownership of digital or technology-enabled consumer experiences with demonstrated leadership of large-scale, multi-stakeholder initiatives. Proven success managing initiatives that span creative development, technical systems, and operational delivery (e.g., digital entertainment, gaming, Parks, or connected experiences) with measurable impact at a divisional or enterprise level. Strong technical fluency-comfortable working with engineering teams, understanding APIs, systems integration, and software development processes at a depth sufficient to influence integration decisions. Experience defining product strategies, writing detailed product and technical requirements, and leading agile delivery teams across complex or ambiguous problem spaces. Demonstrated ability to navigate and influence within a large, matrixed organization at senior levels, driving alignment across competing priorities. Exceptional leadership, analytical, and communication skills. Passion for Disney storytelling, immersive entertainment, and innovation across digital and physical experiences. Willingness to travel as needed. Experience with gaming, interactive media, or connected ecosystem products (e.g., identity systems, digital rewards, or data-driven engagement). Familiarity with park operations, guest experience technology, or cross-platform entertainment initiatives. Knowledge of agile methodologies and tools (e.g., Jira, Confluence, Airtable, Smartsheet, Miro). Education: Bachelor's degree required in technical field; MBA or advanced technical degree preferred. Additional Information Disney offers a rewards package to help you live your best life. This includes health and savings benefits, educational opportunities, and special extras that only Disney can provide. Learn more about our benefits and perks at . The hiring range for this position in Glendale, CA is $188,400 to $252,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Boeing
Electrical Network and Digital Connectivity System Design Engineer (Senior or Principal)
Boeing Everett, Washington
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
01/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing
Electrical Network and Digital Connectivity System Design Engineer (Senior or Principal)
Boeing Everett, Washington
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
01/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Principal Backend Engineer
SupplyHouse Dallas, Texas
Real people. Real service. At , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we're dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a new Principal Backend Engineer to join our growing IT Team. This individual will report to our Sr. Director of IT, serve as a technical leader and system architect, guiding the design and delivery of scalable, reliable, and high-performance solutions across our e-commerce and internal platforms. You'll partner closely with senior leaders to define the long-term engineering vision and lead initiatives that strengthen system performance, scalability, and reliability. If you're an experienced technical leader who thrives on collaboration, mentorship, and building solutions that power business growth, we'd love to hear from you! This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. We reimburse reasonable and necessary travel expenses, and you're also welcome to work on-site anytime beyond these visits - our doors are always open! Role Type: Full-Time Location: Remote Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility Base Salary: $140,000 - $175,000 per year Responsibilities : Technical Strategy & Architecture Architect end-to-end software solutions using modern frameworks and design patterns aligned with scalability, performance, and maintainability goals. Lead system design discussions for high-traffic applications, ensuring robust architecture for business-critical services. Evaluate, recommend, and implement architectural improvements to enhance scalability, observability, and resilience. Define and uphold best practices for code quality, security, accessibility, and data privacy compliance. Project Leadership Lead complex, cross-functional projects from concept to delivery, aligning engineering solutions with business needs. Collaborate with product and business teams to define technical vision and ensure cohesive project execution. Oversee the technical implementation of new features and services, ensuring efficient use of system resources and infrastructure. System Engineering & Optimization Build and maintain distributed systems using Spring Boot microservices, Docker, and Kubernetes. Design and optimize high-performance databases using MySQL and Oracle, leveraging indexing and tuning for efficiency. Implement and manage Redis for caching, Eureka Server for service registration, and the ELK Stack for monitoring and analytics. Configure Nginx and Apache for load balancing and high availability across production systems. DevOps & Reliability Engineering Own and maintain CI/CD pipelines using Jenkins for automated builds, testing, and deployments. Ensure system health and stability through proactive monitoring, logging, and alerting strategies. Drive improvements in deployment automation, infrastructure as code, and site reliability practices. Leadership & Collaboration Act as a technical advisor and mentor, helping develop engineers' skills in architecture, design, and problem-solving. Conduct code and design reviews to maintain engineering excellence. Collaborate effectively with senior leadership and cross-departmental stakeholders to influence company-wide technical initiatives. Foster a culture of innovation, ownership, and accountability across the engineering organization. Requirements : Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Technology, or related field. 10+ years of experience in enterprise-level software development. Advanced proficiency in: Java , Spring Boot , Microservices Architecture MySQL , Oracle , and Redis React and modern front-end frameworks Docker , Kubernetes , Jenkins CI/CD Linux/UNIX , Nginx , Apache , and ELK Stack Deep understanding of data structures , algorithms , and system design principles . Proven ability to architect and deliver complex backend systems and mentor technical teams . Strong collaboration skills with the ability to influence senior leaders and align multiple teams toward shared goals. Why work with us: We have awesome benefits - We offer a wide variety of benefits to help support you and your loved ones. These include: Comprehensive and affordable medical, dental, vision, and voluntary life insurance options 401(k) with up to 4% company match Paid vacation, sick time, and holidays Company-paid basic life insurance and long-term disability Discounted auto, home, and pet insurance programs Flexible Spending Account (FSA) Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP) Company-provided equipment and one-time $250 work from home stipend $750 annual professional development budget $25 monthly Grubhub credit Company rewards and recognition program And more! We empower ownership - We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company's growth and accomplishments. We promote work-life balance - We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy! We support growth - We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget. We give back - We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more. We listen - We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day. Check us out and learn more at ! Additional Details: Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations. Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse may sponsor applicants for work visas in limited situations. is an Equal Opportunity Employer, strongly values inclusion, and encourages individuals of all backgrounds and experiences to apply for this position. To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills. We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations. All emails from the SupplyHouse team will only be sent from email address. Please exercise caution if you receive an email from an alternate domain.
01/07/2026
Full time
Real people. Real service. At , we value every individual team member and cultivate a community where people come first. Led by our core values of G enerosity, R espect, I nnovation, T eamwork, and GRIT, we're dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a new Principal Backend Engineer to join our growing IT Team. This individual will report to our Sr. Director of IT, serve as a technical leader and system architect, guiding the design and delivery of scalable, reliable, and high-performance solutions across our e-commerce and internal platforms. You'll partner closely with senior leaders to define the long-term engineering vision and lead initiatives that strengthen system performance, scalability, and reliability. If you're an experienced technical leader who thrives on collaboration, mentorship, and building solutions that power business growth, we'd love to hear from you! This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. We reimburse reasonable and necessary travel expenses, and you're also welcome to work on-site anytime beyond these visits - our doors are always open! Role Type: Full-Time Location: Remote Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. with time zone flexibility Base Salary: $140,000 - $175,000 per year Responsibilities : Technical Strategy & Architecture Architect end-to-end software solutions using modern frameworks and design patterns aligned with scalability, performance, and maintainability goals. Lead system design discussions for high-traffic applications, ensuring robust architecture for business-critical services. Evaluate, recommend, and implement architectural improvements to enhance scalability, observability, and resilience. Define and uphold best practices for code quality, security, accessibility, and data privacy compliance. Project Leadership Lead complex, cross-functional projects from concept to delivery, aligning engineering solutions with business needs. Collaborate with product and business teams to define technical vision and ensure cohesive project execution. Oversee the technical implementation of new features and services, ensuring efficient use of system resources and infrastructure. System Engineering & Optimization Build and maintain distributed systems using Spring Boot microservices, Docker, and Kubernetes. Design and optimize high-performance databases using MySQL and Oracle, leveraging indexing and tuning for efficiency. Implement and manage Redis for caching, Eureka Server for service registration, and the ELK Stack for monitoring and analytics. Configure Nginx and Apache for load balancing and high availability across production systems. DevOps & Reliability Engineering Own and maintain CI/CD pipelines using Jenkins for automated builds, testing, and deployments. Ensure system health and stability through proactive monitoring, logging, and alerting strategies. Drive improvements in deployment automation, infrastructure as code, and site reliability practices. Leadership & Collaboration Act as a technical advisor and mentor, helping develop engineers' skills in architecture, design, and problem-solving. Conduct code and design reviews to maintain engineering excellence. Collaborate effectively with senior leadership and cross-departmental stakeholders to influence company-wide technical initiatives. Foster a culture of innovation, ownership, and accountability across the engineering organization. Requirements : Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Technology, or related field. 10+ years of experience in enterprise-level software development. Advanced proficiency in: Java , Spring Boot , Microservices Architecture MySQL , Oracle , and Redis React and modern front-end frameworks Docker , Kubernetes , Jenkins CI/CD Linux/UNIX , Nginx , Apache , and ELK Stack Deep understanding of data structures , algorithms , and system design principles . Proven ability to architect and deliver complex backend systems and mentor technical teams . Strong collaboration skills with the ability to influence senior leaders and align multiple teams toward shared goals. Why work with us: We have awesome benefits - We offer a wide variety of benefits to help support you and your loved ones. These include: Comprehensive and affordable medical, dental, vision, and voluntary life insurance options 401(k) with up to 4% company match Paid vacation, sick time, and holidays Company-paid basic life insurance and long-term disability Discounted auto, home, and pet insurance programs Flexible Spending Account (FSA) Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP) Company-provided equipment and one-time $250 work from home stipend $750 annual professional development budget $25 monthly Grubhub credit Company rewards and recognition program And more! We empower ownership - We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company's growth and accomplishments. We promote work-life balance - We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy! We support growth - We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget. We give back - We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more. We listen - We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day. Check us out and learn more at ! Additional Details: Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations. Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse may sponsor applicants for work visas in limited situations. is an Equal Opportunity Employer, strongly values inclusion, and encourages individuals of all backgrounds and experiences to apply for this position. To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills. We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations. All emails from the SupplyHouse team will only be sent from email address. Please exercise caution if you receive an email from an alternate domain.
Boeing
Electrical Network and Digital Connectivity System Design Engineer (Senior or Principal)
Boeing Everett, Washington
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
01/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Commercial Airplanes is seeking a Network and Connected Digital System Design Engineer (Senior or Principal) to join the team in Everett, Washington. Position Overview: In this role, you will be responsible for designing, implementing, and maintaining robust network systems and digital connectivity solutions to support our cutting-edge aerospace projects. All projects center on the translation of concepts and high-level requirements to specific architectures and operational specifications including the physical integration of electrical systems and components into our complex airplanes. Work with a worldwide supplier base and leverage customer collaboration to implement high quality and service ready system hardware and software. Validate designs through both laboratory and airplane testing. Work with aircraft systems from initial concept through certification, delivery, and through their production life. This is a hub requisition within Network and Digital Connectivity systems which includes but is not limited to Onboard Network Systems, Onboard Crew Wireless Connectivity, Offboard Communication Systems, Base Station E-Enabling, End-to-End Architecture testing and more. Position Responsibilities: Responsibilities may vary based on project assignments and team priorities; not all listed duties may be assigned to every individual in this role: Works with customers and suppliers to develop and document complex electrical system requirements, including evaluation of operational use cases Analyzes and translates requirements into system, hardware and software designs and interface specifications Tests and validates to ensure system designs meet operational and functional requirements. Defines and configures lab setup, participates in Flight Test evaluation of Connectivity & Network Systems. Monitors supplier performance to ensure system integration and compliance with requirements Provides support and solves problems concerning hardware and software over the entire product lifecycle Experience managing part obsolescence and associated risk mitigation Researches specific technology advances for potential application to company business needs and drive innovation Lead and mentor engineers within the organization Work with external organizations within Boeing's Commercial Airplanes, Global Service, and Test & Evaluation organizations to establish holistic end to end functions that can be verified Utilize Model Based System Engineering (MBSE) to develop architecture mapping and set the stage for simulated test environments Create software scripts to support and/or automate testing procedures and analysis Evaluate the performance, reliability, and stability of connectivity IP links (wired or wireless) Lead execution of Technical Service Agreements (TSAs) for Offboard Connectivity Work Authorization: This position must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Everett, WA. This role requires travel to the Seattle Lab and other Puget Sound sites up to 10% of the time. Basic Qualifications (Required Skills / Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. 9+ years of experience working in an electrical system design engineering environment. 3+ years of experience in requirements verification and validation. Preferred Qualification (Desired Skills / Experience): Experience within Electrical Systems hardware and software design. Familiarity with engineering processes and methods. Knowledge of FAA certification. Experience with system design and integration during an airplane development program. Experience working with cross functional teams. Demonstrated project management skills within a fast paced highly integrated environment. Experience with Model Based Development tools. Experience with Linux/UNIX OS Experience in computer networking systems, with a strong ability to troubleshoot and debug issues in aerospace software and hardware environments Experience with complex multi-system level integration and test Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Pay and Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bar gaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: Senior (Level 4): $128,350 - $173,650 Principal (Level 5): $153,850 - $208,150 Applications for this position will be accepted until Jan. 19, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Embedded Systems Engineer/Programmer
PrideStaff Beaverton, Oregon
Embedded Systems Engineer/Programmer Direct Hire Position, not a contract! Our client creates innovative custom machine control solutions. During the past 20 years, they have provided industrial automation systems, machines, services and components to machine builders and end-users throughout the world. They occupy a unique niche as both a Factory Authorized Systems Integrator and an Authorized Distributor for many quality automation lines. They value creativity, flexibility, elegant solutions, truth, and altruism. As a locally owned and operated company, they embrace their customers' goals as our own and seek multifaceted people who bring those machines to life. Summary In this position, you will create innovative, responsive solutions to a wide variety of machine control applications. You will apply a common "toolbox" of components to create custom solutions for a wide variety of applications. You will develop projects from customer discovery; to PLC, HMI, Motion, and Network programming; through validation and startup at the customer's location. Most projects are completed in less than six weeks, and startups are usually day-trips. Individual initiative, a dedication to quality and a sense of pride in one's workmanship is critical. As a member of our engineering team, you will work cooperatively with the principal engineer, other engineers, drafts people, project managers, and production technicians on a wide variety of interesting and challenging projects. The ideal candidate loves writing clean, elegant code from a blank slate. A lifelong-learner or student mindset is essential, as is the ability to be flexible and willing to try on new roles in the process. Base skills and traits Basic electronics theory Experience with using a multimeter to diagnose electrical problems is a plus Aptitude for applied programming (projects that demonstrate interaction with the real world are a plus) Other experiences, for example car maintenance, electronics repair/soldering, hobby projects etc. that demonstrate active problem-solving skills in relation to machines or electrical circuits Adaptability: ability to learn new languages, interfaces, development environments, etc. quickly Problem identification: isolate the most important problem component in any situation and pursue its resolution Pragmatic: seek resolution, not perfection Team Skills/Personable: ability to communicate with team members, interact with outside clients Specific skills: Demonstrable mastery of one or more of the following: C, C++, Java, C#, Python, JavaScript, Ruby Basic understanding of algorithms and algorithmic complexity (101 level is sufficient) Computer architecture fundamentals Linux and/or Windows command line Spreadsheets, data normalization Boolean logic Willingness to write disciplined, organized, and well-documented code. Beneficial Experience Mastery of IEC 61131-3 PLC programming, with an emphasis on Structured Text and Ladder. Fluent in ANSI Y32.2/IEEE and IEC electrical schematic symbols and layouts Fluent in ANSI/ISA S5.1 P&ID process schematics symbols and layouts. Functional understanding of UL508A and NFPA79 standards. Expert proficiency implementing/troubleshooting PLCs, HMI, motion control, servo systems, industrial sensors. Experience with industrial networks such as Modbus TCP, Ethernet/IP, CANopen, and J1939. Excellent customer service skills and an ability to calmly guide our customers through the startup process. Experience commissioning and troubleshooting automation systems. 5+ Years of experience PLC Programming with CoDeSys (SoMachine) on Schneider and Wago PLCs. PLC Programming for Mitsubishi FX-, A-, Q- and iQ- PLC systems. PLC Programming for Rockwell/Allen-Bradley Motion Programming with CoDeSys (SoMachine) SoftMotion, or Mitsubishi motion controllers. HMI Programming for Schneider (Proface), Red Lion, Mitsubishi, Panelview systems. ANSI C/C++ Programming Database fundamentals Web programming/UI Embedded programming (PIC, atmel, in C/C++ Assembly language proficiency Sockets Automation using scripting/command line VMs, Docker, Kubernetes Linux build/configuration Perl, PHP, regular expressions IT experience REST, OAUTH Working Environment Most work will be performed at our offices in Beaverton, Oregon. Additional work will be required in a wide variety of environments and industries, including everything from clean-room to rock quarry to military installations. You must be willing and able to work offsite as required. Fieldwork is usually within driving distance but will include out-of-town startup and service trips generally amounting to less than 15% of the total work schedule. Compensation & Benefits Base Pay: Up to $125,000 for highly qualified candidates Flexible work schedule; Paid vacation with additional Paid Time Off (PTO); Paid holidays; Healthcare; Specialty training and new skills development, and more. Apply online or Call today to apply! PrideStaff Portland is a locally owned and operated Staffing Agency. PrideStaff is a winner of the coveted "Best of Staffing" Diamond award for 11 consecutive years for the highest level of satisfaction as rated by our valued Employees and Clients. Over the years, PrideStaff has been a consistent industry leader, developing technology and service processes that allow our organization to deliver superior performance. When it comes to your success, we leave nothing to chance. Allow us to support your job and career search and see the difference PrideStaff can make for you! Compensation / Pay Rate (Up to): $105,000.00 - $125,000.00
12/20/2025
Full time
Embedded Systems Engineer/Programmer Direct Hire Position, not a contract! Our client creates innovative custom machine control solutions. During the past 20 years, they have provided industrial automation systems, machines, services and components to machine builders and end-users throughout the world. They occupy a unique niche as both a Factory Authorized Systems Integrator and an Authorized Distributor for many quality automation lines. They value creativity, flexibility, elegant solutions, truth, and altruism. As a locally owned and operated company, they embrace their customers' goals as our own and seek multifaceted people who bring those machines to life. Summary In this position, you will create innovative, responsive solutions to a wide variety of machine control applications. You will apply a common "toolbox" of components to create custom solutions for a wide variety of applications. You will develop projects from customer discovery; to PLC, HMI, Motion, and Network programming; through validation and startup at the customer's location. Most projects are completed in less than six weeks, and startups are usually day-trips. Individual initiative, a dedication to quality and a sense of pride in one's workmanship is critical. As a member of our engineering team, you will work cooperatively with the principal engineer, other engineers, drafts people, project managers, and production technicians on a wide variety of interesting and challenging projects. The ideal candidate loves writing clean, elegant code from a blank slate. A lifelong-learner or student mindset is essential, as is the ability to be flexible and willing to try on new roles in the process. Base skills and traits Basic electronics theory Experience with using a multimeter to diagnose electrical problems is a plus Aptitude for applied programming (projects that demonstrate interaction with the real world are a plus) Other experiences, for example car maintenance, electronics repair/soldering, hobby projects etc. that demonstrate active problem-solving skills in relation to machines or electrical circuits Adaptability: ability to learn new languages, interfaces, development environments, etc. quickly Problem identification: isolate the most important problem component in any situation and pursue its resolution Pragmatic: seek resolution, not perfection Team Skills/Personable: ability to communicate with team members, interact with outside clients Specific skills: Demonstrable mastery of one or more of the following: C, C++, Java, C#, Python, JavaScript, Ruby Basic understanding of algorithms and algorithmic complexity (101 level is sufficient) Computer architecture fundamentals Linux and/or Windows command line Spreadsheets, data normalization Boolean logic Willingness to write disciplined, organized, and well-documented code. Beneficial Experience Mastery of IEC 61131-3 PLC programming, with an emphasis on Structured Text and Ladder. Fluent in ANSI Y32.2/IEEE and IEC electrical schematic symbols and layouts Fluent in ANSI/ISA S5.1 P&ID process schematics symbols and layouts. Functional understanding of UL508A and NFPA79 standards. Expert proficiency implementing/troubleshooting PLCs, HMI, motion control, servo systems, industrial sensors. Experience with industrial networks such as Modbus TCP, Ethernet/IP, CANopen, and J1939. Excellent customer service skills and an ability to calmly guide our customers through the startup process. Experience commissioning and troubleshooting automation systems. 5+ Years of experience PLC Programming with CoDeSys (SoMachine) on Schneider and Wago PLCs. PLC Programming for Mitsubishi FX-, A-, Q- and iQ- PLC systems. PLC Programming for Rockwell/Allen-Bradley Motion Programming with CoDeSys (SoMachine) SoftMotion, or Mitsubishi motion controllers. HMI Programming for Schneider (Proface), Red Lion, Mitsubishi, Panelview systems. ANSI C/C++ Programming Database fundamentals Web programming/UI Embedded programming (PIC, atmel, in C/C++ Assembly language proficiency Sockets Automation using scripting/command line VMs, Docker, Kubernetes Linux build/configuration Perl, PHP, regular expressions IT experience REST, OAUTH Working Environment Most work will be performed at our offices in Beaverton, Oregon. Additional work will be required in a wide variety of environments and industries, including everything from clean-room to rock quarry to military installations. You must be willing and able to work offsite as required. Fieldwork is usually within driving distance but will include out-of-town startup and service trips generally amounting to less than 15% of the total work schedule. Compensation & Benefits Base Pay: Up to $125,000 for highly qualified candidates Flexible work schedule; Paid vacation with additional Paid Time Off (PTO); Paid holidays; Healthcare; Specialty training and new skills development, and more. Apply online or Call today to apply! PrideStaff Portland is a locally owned and operated Staffing Agency. PrideStaff is a winner of the coveted "Best of Staffing" Diamond award for 11 consecutive years for the highest level of satisfaction as rated by our valued Employees and Clients. Over the years, PrideStaff has been a consistent industry leader, developing technology and service processes that allow our organization to deliver superior performance. When it comes to your success, we leave nothing to chance. Allow us to support your job and career search and see the difference PrideStaff can make for you! Compensation / Pay Rate (Up to): $105,000.00 - $125,000.00
Digital/Technical Product Manager - Intermediate Level
USAA San Antonio, Texas
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Intermediate Level - Digital/Technical Product Manager-Digital Platform Services & Personalization you will support the discovery, delivery, and performance of digital and technology products and their experiences for USAA and its members. Collaborates with internal collaborators and partners to tackle complex and exciting problems to optimize the customers' (internal/external) experience with market offerings. Designs and drives implementation of multi-platform technology and digital solutions. Optimizes and improves existing products and experiences across all channels and platforms to drive Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs). Employs Human-Centered Design and Design Thinking methodologies to bring world-class Digital and/or Technology driven products to market. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX and Plano, TX. Relocation assistance is not available for this position. What you'll do: Leverages Digital or Technology research, business and market intelligence, and data-driven insights to support team members to identify opportunities, propose solutions, create and maintain roadmaps, and improve performance. Prepares supporting data and materials for generating compelling presentations, and other forms of communication, to inform and influence key stakeholders. Collaborates with stakeholders to formulate effective strategies for achieving key Digital or Technology product goals. Finds areas of opportunity and solves for customer pain points to inform and support team members. Leverages data-driven problem-solving techniques and analytical rigor to understand and report on product and experience performance against KPIs/KRIs. Researches and identifies industry best practices and trends to increase effectiveness of Digital or Technology products. Maintains and applies developing knowledge of the Business, Technology, UX, and relevant experiences and processes, and an academic understanding of Product Management. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years Digital/Technology Product Management experience, to include Digital/Technology experience in Strategy/Planning, Innovation, User Experience, Process Engineering, Analytics, Research/Testing. 1 year of Customer Contact Channel experience within Insurance or Financial services industry will take place of 1 year of the minimum experience required. Experience developing presentations to communicate complex concepts to a diverse audience. Knowledge of Agile Methodology. What sets you apart: Proven experience refining agile features for complex platforms Strong UX understanding leading to exceptional end to end digital experiences. Demonstrated ability to connect and influence cross-functional teams to achieve congruent outcomes. Experience driving alignment in matrixed organizations through communication and problem-solving. Proficient in business analytics tools (ie. Gridspace, Glassbox, Adobe Analytics) to convert data into actionable business improvements. Solid business acumen with direct experience in financial product verticals such as banking and insurance, understanding economics and trends Evidenced focused on continuous growth and development, incorporating new technologies and innovations into product strategy. Adaptability and agility to keep pace with digital trends and technologies. Possesses a strong ability to translate business requirements into clear platform implications and technical specifications to inform priority. Demonstrates understanding of platform architecture and backend systems to effectively evaluate feasibility, estimate effort, and drive conversations forward. Able to bridge the gap between business stakeholders and technical teams, ensuring that proposed solutions are technically sound given constraints and aligned with the overall platform strategy. Compensation range: The salary range for this position is: $77,120 - $147,390. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
12/19/2025
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Intermediate Level - Digital/Technical Product Manager-Digital Platform Services & Personalization you will support the discovery, delivery, and performance of digital and technology products and their experiences for USAA and its members. Collaborates with internal collaborators and partners to tackle complex and exciting problems to optimize the customers' (internal/external) experience with market offerings. Designs and drives implementation of multi-platform technology and digital solutions. Optimizes and improves existing products and experiences across all channels and platforms to drive Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs). Employs Human-Centered Design and Design Thinking methodologies to bring world-class Digital and/or Technology driven products to market. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX and Plano, TX. Relocation assistance is not available for this position. What you'll do: Leverages Digital or Technology research, business and market intelligence, and data-driven insights to support team members to identify opportunities, propose solutions, create and maintain roadmaps, and improve performance. Prepares supporting data and materials for generating compelling presentations, and other forms of communication, to inform and influence key stakeholders. Collaborates with stakeholders to formulate effective strategies for achieving key Digital or Technology product goals. Finds areas of opportunity and solves for customer pain points to inform and support team members. Leverages data-driven problem-solving techniques and analytical rigor to understand and report on product and experience performance against KPIs/KRIs. Researches and identifies industry best practices and trends to increase effectiveness of Digital or Technology products. Maintains and applies developing knowledge of the Business, Technology, UX, and relevant experiences and processes, and an academic understanding of Product Management. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years Digital/Technology Product Management experience, to include Digital/Technology experience in Strategy/Planning, Innovation, User Experience, Process Engineering, Analytics, Research/Testing. 1 year of Customer Contact Channel experience within Insurance or Financial services industry will take place of 1 year of the minimum experience required. Experience developing presentations to communicate complex concepts to a diverse audience. Knowledge of Agile Methodology. What sets you apart: Proven experience refining agile features for complex platforms Strong UX understanding leading to exceptional end to end digital experiences. Demonstrated ability to connect and influence cross-functional teams to achieve congruent outcomes. Experience driving alignment in matrixed organizations through communication and problem-solving. Proficient in business analytics tools (ie. Gridspace, Glassbox, Adobe Analytics) to convert data into actionable business improvements. Solid business acumen with direct experience in financial product verticals such as banking and insurance, understanding economics and trends Evidenced focused on continuous growth and development, incorporating new technologies and innovations into product strategy. Adaptability and agility to keep pace with digital trends and technologies. Possesses a strong ability to translate business requirements into clear platform implications and technical specifications to inform priority. Demonstrates understanding of platform architecture and backend systems to effectively evaluate feasibility, estimate effort, and drive conversations forward. Able to bridge the gap between business stakeholders and technical teams, ensuring that proposed solutions are technically sound given constraints and aligned with the overall platform strategy. Compensation range: The salary range for this position is: $77,120 - $147,390. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Digital/Technical Product Manager - Intermediate Level
USAA Plano, Texas
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Intermediate Level - Digital/Technical Product Manager-Digital Platform Services & Personalization you will support the discovery, delivery, and performance of digital and technology products and their experiences for USAA and its members. Collaborates with internal collaborators and partners to tackle complex and exciting problems to optimize the customers' (internal/external) experience with market offerings. Designs and drives implementation of multi-platform technology and digital solutions. Optimizes and improves existing products and experiences across all channels and platforms to drive Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs). Employs Human-Centered Design and Design Thinking methodologies to bring world-class Digital and/or Technology driven products to market. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX and Plano, TX. Relocation assistance is not available for this position. What you'll do: Leverages Digital or Technology research, business and market intelligence, and data-driven insights to support team members to identify opportunities, propose solutions, create and maintain roadmaps, and improve performance. Prepares supporting data and materials for generating compelling presentations, and other forms of communication, to inform and influence key stakeholders. Collaborates with stakeholders to formulate effective strategies for achieving key Digital or Technology product goals. Finds areas of opportunity and solves for customer pain points to inform and support team members. Leverages data-driven problem-solving techniques and analytical rigor to understand and report on product and experience performance against KPIs/KRIs. Researches and identifies industry best practices and trends to increase effectiveness of Digital or Technology products. Maintains and applies developing knowledge of the Business, Technology, UX, and relevant experiences and processes, and an academic understanding of Product Management. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years Digital/Technology Product Management experience, to include Digital/Technology experience in Strategy/Planning, Innovation, User Experience, Process Engineering, Analytics, Research/Testing. 1 year of Customer Contact Channel experience within Insurance or Financial services industry will take place of 1 year of the minimum experience required. Experience developing presentations to communicate complex concepts to a diverse audience. Knowledge of Agile Methodology. What sets you apart: Proven experience refining agile features for complex platforms Strong UX understanding leading to exceptional end to end digital experiences. Demonstrated ability to connect and influence cross-functional teams to achieve congruent outcomes. Experience driving alignment in matrixed organizations through communication and problem-solving. Proficient in business analytics tools (ie. Gridspace, Glassbox, Adobe Analytics) to convert data into actionable business improvements. Solid business acumen with direct experience in financial product verticals such as banking and insurance, understanding economics and trends Evidenced focused on continuous growth and development, incorporating new technologies and innovations into product strategy. Adaptability and agility to keep pace with digital trends and technologies. Possesses a strong ability to translate business requirements into clear platform implications and technical specifications to inform priority. Demonstrates understanding of platform architecture and backend systems to effectively evaluate feasibility, estimate effort, and drive conversations forward. Able to bridge the gap between business stakeholders and technical teams, ensuring that proposed solutions are technically sound given constraints and aligned with the overall platform strategy. Compensation range: The salary range for this position is: $77,120 - $147,390. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
12/19/2025
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Intermediate Level - Digital/Technical Product Manager-Digital Platform Services & Personalization you will support the discovery, delivery, and performance of digital and technology products and their experiences for USAA and its members. Collaborates with internal collaborators and partners to tackle complex and exciting problems to optimize the customers' (internal/external) experience with market offerings. Designs and drives implementation of multi-platform technology and digital solutions. Optimizes and improves existing products and experiences across all channels and platforms to drive Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs). Employs Human-Centered Design and Design Thinking methodologies to bring world-class Digital and/or Technology driven products to market. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX and Plano, TX. Relocation assistance is not available for this position. What you'll do: Leverages Digital or Technology research, business and market intelligence, and data-driven insights to support team members to identify opportunities, propose solutions, create and maintain roadmaps, and improve performance. Prepares supporting data and materials for generating compelling presentations, and other forms of communication, to inform and influence key stakeholders. Collaborates with stakeholders to formulate effective strategies for achieving key Digital or Technology product goals. Finds areas of opportunity and solves for customer pain points to inform and support team members. Leverages data-driven problem-solving techniques and analytical rigor to understand and report on product and experience performance against KPIs/KRIs. Researches and identifies industry best practices and trends to increase effectiveness of Digital or Technology products. Maintains and applies developing knowledge of the Business, Technology, UX, and relevant experiences and processes, and an academic understanding of Product Management. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 2 years Digital/Technology Product Management experience, to include Digital/Technology experience in Strategy/Planning, Innovation, User Experience, Process Engineering, Analytics, Research/Testing. 1 year of Customer Contact Channel experience within Insurance or Financial services industry will take place of 1 year of the minimum experience required. Experience developing presentations to communicate complex concepts to a diverse audience. Knowledge of Agile Methodology. What sets you apart: Proven experience refining agile features for complex platforms Strong UX understanding leading to exceptional end to end digital experiences. Demonstrated ability to connect and influence cross-functional teams to achieve congruent outcomes. Experience driving alignment in matrixed organizations through communication and problem-solving. Proficient in business analytics tools (ie. Gridspace, Glassbox, Adobe Analytics) to convert data into actionable business improvements. Solid business acumen with direct experience in financial product verticals such as banking and insurance, understanding economics and trends Evidenced focused on continuous growth and development, incorporating new technologies and innovations into product strategy. Adaptability and agility to keep pace with digital trends and technologies. Possesses a strong ability to translate business requirements into clear platform implications and technical specifications to inform priority. Demonstrates understanding of platform architecture and backend systems to effectively evaluate feasibility, estimate effort, and drive conversations forward. Able to bridge the gap between business stakeholders and technical teams, ensuring that proposed solutions are technically sound given constraints and aligned with the overall platform strategy. Compensation range: The salary range for this position is: $77,120 - $147,390. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Principal Associate, Data Scientist - AI Software Engineering
Capital One Salisbury, Maryland
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering
Capital One Dover, Delaware
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering
Capital One Fredericksburg, Virginia
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering
Capital One York, Pennsylvania
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering
Capital One Charlottesville, Virginia
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering
Capital One Annapolis, Maryland
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Principal Associate, Data Scientist - AI Software Engineering
Capital One Baltimore, Maryland
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
12/17/2025
Full time
Principal Associate, Data Scientist - AI Software Engineering Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The AI Foundations - AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. We partner closely with product and engineering teams to create multi-agent solutions across the software development lifecycle-including code generation, migration, troubleshooting, root-cause analysis, and documentation-leveraging technologies such as LangGraph, MCP, agent-to-agent protocols, and advanced model customization techniques. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) Experience working with AWS Experience building production-grade agentic platforms, including RAG and graph-augmented systems, MCP or tool-calling integrations Demonstrated expertise in advanced model customization techniques-such as fine-tuning, parameter-efficient tuning (LoRA/QLoRA), reinforcement learning, or preference optimization Prior research and publications in AI/ML conferences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Modal Window

  • Home
  • Contact
  • About Us
  • FAQs
  • Terms & Conditions
  • Privacy
  • Employer
  • Post a Job
  • Search Resumes
  • Sign in
  • Job Seeker
  • Find Jobs
  • Create Resume
  • Sign in
  • IT blog
  • Facebook
  • Twitter
  • LinkedIn
  • Youtube
© 2008-2026 IT Job Board