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. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) 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. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & 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 bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Oct. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. 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.
09/23/2026
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. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) 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. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & 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 bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Oct. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. 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.
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. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: . Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team 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. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: 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 bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. Applications for this position will be accepted until Oct. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. 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.
09/23/2026
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. The Boeing Company has an exciting opportunity for Mission Systems Software Developer (Experienced & Senior) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. To learn more, take a look at our video: . Our Air Dominance software engineers design, develop, and demonstrate avionics solutions for the platforms we build and upgrade. Your efforts will assist integration of innovative technologies to maintain our platform's dominance over the battlefield for many decades to come. Additionally, our software engineers support the Flight Simulation products associated to our platforms. Our engineers are involved in all aspects of these programs (software requirements, design, code, and test) and our agile development approach allows new hires like yourself to quickly become very impactful and make a difference to our success! To learn more about Boeing Software Engineering, take a look at our video: Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Level Software Developer Engineers. Position Responsibilities: Supporting software development on agile teams which are tasked with integrating/implementing solutions onto a platform Developing high fidelity simulation and environment software and tool sets to enable rapid development, test, and deployment of high-quality software solutions for the war-fighter, and many others Uses analytical problem-solving skills to resolve problems for the company and suppliers Uses engineering skills to deliver improved weapon system capabilities to our customers Applies engineering knowledge to continuously improve processes and tools Applies knowledge of engineering principles to conduct analysis Documentation of Engineering Practices for replication, scaling and continuous improvement Working across program stakeholders and subject matter experts in various engineering disciplines (Operational Analysis, Software Engineering, Mission Systems Hardware, Flight Simulation, etc.) Technical leadership over supporting junior engineers This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Daytona Beach, FL. Required Qualifications (Required Skills/ Experience): 4 plus years' professional experience with any of the following software development languages: Ada, C, C++, C#, JAVA, and Python 3 plus years' experience working in a project where various software development methodologies are being utilizing Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Mathematics, or Physics, Computer Science, or other technical degree 5 + years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Highest level U.S. security clearance currently hold or have held in the past 24 months Ability to work effectively in a team environment and communicate with stakeholders of different backgrounds and skill levels Experience developing embedded real-time software Experience developing models and simulation Experience developing Operational Flight Program (OFP) software for an aircraft platform Experience working with Real-time Operating Systems (RTOS) Experience with object-oriented analysis and design (OOAD) methodologies Experience with Agile software development Experience with open architecture constructs like Open Mission Systems (OMS), Open Communication Standard (OCS); utilizing the Universal Command and Control Interface (UCI) Experience developing and documenting software architecture using Cameo, or similar Model Based Systems Engineering tools Experience with configuration management and collaboration tools such as (or similar to) Git, JIRA, Collaborator, Beyond Compare and VersionOne Experience leading a project or technical team 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. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Total Rewards & Pay Transparency: 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 bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range for Experienced Engineer: $118,150.00 - $159,850.00. Summary pay range for Senior Engineer: $149,600.00 - $202,400.00. Applications for this position will be accepted until Oct. 27, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. 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.
Job Description Job Description About the Role: We are seeking a highly skilled Network Senior Engineer to join our team at our Aberdeen Proving Ground, Maryland location. As a Network Senior Engineer, you will be responsible for providing expert analysis on the design, implemention, and maintenance of complex network solutions for our clients. Your main goal will be to provide insight to various network project solutions within the organization, identify any issues, and work with a team to ensure the successful resolution of any project deliverables while also providing excellent customer service. You will work closely with our clients to understand their needs and provide customized solutions that meet their unique requirements. This is a challenging and rewarding role that requires a high level of technical expertise and excellent communication skills. Minimum Qualifications: 5+ years of experience in network engineering Strong knowledge of network transport and security protocols, technologies, and designs Excellent problem-solving and analytical skills Must be able to work independently and with a team without formal instruction Ability to obtain and maintain a U.S. Federal Security Clearance Preferred Qualifications: Master's degree in Computer Science, Information Technology, or related field Experience with Cisco, Juniper, and Palo Alto Networks Certifications such as Cisco CCIE, Juniper JNCIP, or PCNSE U.S. Department of Defense background Responsibilities: Design and implement complex network solutions for our clients Maintain and troubleshoot network issues Ensure network security and stability Provide excellent customer service to our clients and ensure project deliverables Collaborate with clients to understand their needs and provide customized solutions Skills: As a Network Senior Engineer, you will use your strong technical skills to oversee the design and implementation of complex network solutions for our clients. You will also use your excellent communication skills to collaborate with clients and provide customized solutions that meet their unique needs. Your knowledge of network protocols and technologies will be essential in ensuring the security and stability of our clients' networks. Additionally, your problem-solving and analytical skills will be critical in maintaining and troubleshooting network issues. Finally, your experience with Cisco, Juniper, and Palo Alto Networks, as well as possible certifications such as Cisco CCIE, JNCIP, or PCNSE will be beneficial in this role.
09/23/2026
Full time
Job Description Job Description About the Role: We are seeking a highly skilled Network Senior Engineer to join our team at our Aberdeen Proving Ground, Maryland location. As a Network Senior Engineer, you will be responsible for providing expert analysis on the design, implemention, and maintenance of complex network solutions for our clients. Your main goal will be to provide insight to various network project solutions within the organization, identify any issues, and work with a team to ensure the successful resolution of any project deliverables while also providing excellent customer service. You will work closely with our clients to understand their needs and provide customized solutions that meet their unique requirements. This is a challenging and rewarding role that requires a high level of technical expertise and excellent communication skills. Minimum Qualifications: 5+ years of experience in network engineering Strong knowledge of network transport and security protocols, technologies, and designs Excellent problem-solving and analytical skills Must be able to work independently and with a team without formal instruction Ability to obtain and maintain a U.S. Federal Security Clearance Preferred Qualifications: Master's degree in Computer Science, Information Technology, or related field Experience with Cisco, Juniper, and Palo Alto Networks Certifications such as Cisco CCIE, Juniper JNCIP, or PCNSE U.S. Department of Defense background Responsibilities: Design and implement complex network solutions for our clients Maintain and troubleshoot network issues Ensure network security and stability Provide excellent customer service to our clients and ensure project deliverables Collaborate with clients to understand their needs and provide customized solutions Skills: As a Network Senior Engineer, you will use your strong technical skills to oversee the design and implementation of complex network solutions for our clients. You will also use your excellent communication skills to collaborate with clients and provide customized solutions that meet their unique needs. Your knowledge of network protocols and technologies will be essential in ensuring the security and stability of our clients' networks. Additionally, your problem-solving and analytical skills will be critical in maintaining and troubleshooting network issues. Finally, your experience with Cisco, Juniper, and Palo Alto Networks, as well as possible certifications such as Cisco CCIE, JNCIP, or PCNSE will be beneficial in this role.
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
09/23/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/23/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Aeronautics Systems is seeking Principal / Sr Principal Systems Engineer - Data Analyst as an individual contributor within an engineering analytics and tools development team. The selected candidate will collaborate with data analytics leads and other functions to articulate problem spaces and solutions to data processing and visualization projects. Position can be filled at a level 3 or a level 4. Job Responsibilities: Engage with technical and programmatic teams to understand their questions and problems, and help translate them into clear data and analytical requirements. Architect and develop modular, scalable data processing and analytics tools, following established coding and version-control practices. Assist in designing and implementing end-to-end data solutions, from data ingestion/parsing, to relational data models, though analytics and reporting Assist in designing and implementing intuitive user interfaces that enable users to enter, review, and interact with data accurately and efficiently. Perform exploratory data analysis and applied analytics to identify trends, outliers and anomalies in engineering and business data. Synthesize findings into clear, actionable insights for technical and non-technical stakeholders Basic Qualifications: Principal Systems Engineer 3 - Bachelor's degree in a STEM discipline AND 5 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 3 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 1 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Senior Principal Systems Engineer 4 - Bachelor's degree in a STEM discipline AND 8 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science, OR a Master's degree in a STEM discipline AND 6 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. OR a PH.D. in a STEM discipline AND 4 years of related professional/military experience in Systems Engineering, Data Analytics, Data Engineering or Data Science. Proficient/Advanced Python Skills; comfortable with large, production codebases Experience with relational database design Proficient SQL Skills; comfortable with complex joins Comfortable working with data pipelines (ETL) that extract, transform, and load data to structured data stores for analytics and reporting Comfortable with version control (Git, branching strategies, code review) Strong analytics skills - proficient in exploratory data analysis (EDA), summarization, trend detection, and anomaly/outlier identification; ability to frame and answer engineering/business questions with appropriate metrics, statistical methods, and clear narrative. Proficient in data visualization and storytelling. Skilled at designing effective visualizations that communicate insights to both technical and non-technical stakeholders Ability to obtain a DOD Secret clearance Ability to obtain and maintain Special Access Program (SAP) clearance. Preferred Qualifications: Experience designing and implementing data pipelines (ETL) to move data from raw sources into structured datasets for analytics and reporting Experience with Web Development, especially with Django Framework Experience with modern Business Insight (BI) tools, especially Tableau Experience working with existing CI/CD pipelines and multiple environments (dev/stage/prod), including using virtual environments for local development Active DoD Secret or Top Secret Clearance Active/current SAP clearance (any SAP) Primary Level Salary Range: $93,300.00 - $174,500.00 Secondary Level Salary Range: $114,000.00 - $213,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/22/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
09/22/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. The Senior Business Intelligence Analyst is a highly visible, hands-on individual contributor responsible for building and scaling AIM28's analytics, reporting, and value-realization measurement capabilities. Reporting to the AIM28 Finance Lead, this role will design and own end-to-end data models, ETL pipelines, dashboards, and automation solutions that transform complex, fragmented data into trusted insights for executives and program leaders. In addition, this role will support other strategic projects as required. The ideal candidate combines deep technical expertise in SQL, data modeling, BI visualization, automation, and AI-enabled analytics with strong business and finance acumen. Operating as the sole analytics builder within the AIM28 Finance team, this person will create the program's single source of truth for KPI, benefit, investment, and value-realization reporting while driving self-service analytics, reporting automation, and AI-powered insights across the AIM28 portfolio. The Senior Business Intelligence Analyst will lead the development of business intelligence, data visualization, analytics, and reporting automation for the AIM28 program and other strategic projects within U.S. Pharmaceutical Distribution (USPD). AIM28 is McKesson's AI-enabled transformation program, organized around a portfolio of Big Bets, each accountable for delivering measurable business outcomes. This role reports directly into the Sr. Director, Finance (AIM28). This role is the hands-on builder who turns Big Bet data into trusted, automated benefit and value-realization reporting for program leadership and senior executives. The source material varies: some data arrives raw and needs business logic before anyone can use it, some lives in manual files, and some is already visualized in dashboards the business teams built for themselves. You will architect an AI-ready analytics and reporting model that pairs traditional dashboards with AI capabilities such as automated narratives and conversational agents, so stakeholders can self-serve and get to insight faster. Where data is raw, you will establish the transformation logic that makes it consumable. Where reporting lives in manual files or scattered dashboards, you will integrate and standardize it into Big Bet and AIM28 program-level solutions. This is a highly visible individual contributor role. We are looking for a builder with deep SQL proficiency, strong knowledge of data design, and the visualization and storytelling skill to brief senior executives. Expect problems to show up half-defined; your job is to turn them into reliable numbers and clear answers. This role works under the direction of the AIM28 Finance Lead partnering with, Big Bet teams, the transformation office, and McKesson Technology to codify KPI definitions and benefit methodologies into governed data models. The goal is one version of the truth across the program. This is a pure individual-contributor role embedded in Finance, not a role inside a BI or data engineering organization. There is no bench of other BIEs, analytics engineers, or data engineers to hand design, build, or troubleshooting off to, you own the full stack yourself, end to end. Because the role sits in Finance rather than Technology, you should also be comfortable working fluently in financial concepts: ROI, forecasting, variance-to-plan, and business-case logic, gained through direct experience partnering with a business finance or FP&A team. What You'll Do Program & Big Bet reporting Design, build, and maintain the AIM28 program-level and Big Bet-level dashboards that track KPIs, benefits, investments, milestones, and value realization. These dashboards are the single source of truth for program performance. Develop executive-facing reporting for monthly Steering Committee meetings, business reviews, and leadership updates. Translate complex program data into insights leaders can act on. Reporting automation Automate recurring benefit and program reporting end to end. Replace manual, file-based processes with scheduled data flows that are validated and monitored. Find and implement automation opportunities across reporting workflows, including AI capabilities such as automated narratives and summaries that surface insights before anyone asks for them. Data engineering & transformation Build and maintain scalable ETL/ELT pipelines that extract, transform, and clean large, multi-dimensional datasets from multiple sources. These pipelines power the automated Big Bet and AIM28 program-level reporting. Ingest and integrate data from Big Bet teams into harmonized, consumable datasets and data models. Sources include raw operational data, manually maintained files, and dashboards the business built for itself. Establish the business logic that converts raw source data into certified reporting. Document the logic, lineage, and metric definitions well enough that someone else could audit or maintain the work. Design semantic models and curated datasets that people consume today through dashboards and self-service, and that AI agents can consume over time. KPI & benefit frameworks Partner with the AIM28 Finance lead to codify KPI definitions and benefit-realization methodologies into governed data models, so measurement stays consistent across Big Bets. Develop and monitor the KPIs that drive business decisions. Implement data-quality checks, reconciliation, and anomaly detection to protect trust in the numbers. Deep-dive analysis & insights Conduct deep-dive analyses of KPI movements, benefit variances, and program performance questions. Identify root causes and bring conclusions and recommendations to senior leadership. Answer ad hoc analytical questions from program leadership and Big Bet teams. When sources disagree, triangulate across them to validate data fidelity. Self-service & adoption Enable governed self-service analytics for program and Big Bet stakeholders, so fewer questions turn into ad hoc requests or one-off analyses. Own delivery end to end, from requirements and solution design through build, UAT, and adoption. Work with business stakeholders, data engineering, and IT to keep solutions compliant with enterprise data standards. Continuous improvement & influence Prioritize the reporting and automation backlog by business impact and effort. Keep stakeholders current on the roadmap and the trade-offs behind it. Set the standard for analytics practice (data integrity, documentation, versioning) across Big Bet teams, and coach business analysts who build their own reporting. What You Bring A builder's mindset. You take loosely defined problems, work out the business intent behind them, and deliver working solutions end to end: requirements, data model, pipeline, dashboard, adoption. Comfort with ambiguity and imperfect data. Raw extracts, manual spreadsheets, inconsistent definitions, and shifting requirements are the starting point here, not a blocker. Business acumen and financial literacy. You understand core finance concepts, ROI, forecasting, variance-to-plan, business-case logic well enough to hold your own in a finance conversation, not just translate what finance tells you. You have worked directly with a finance or FP&A team before, and you can sit with finance and business partners, understand benefit logic and business cases, and translate between data and business needs. Comfort as a standalone technical IC. This role sits in Finance, not in a BI or data engineering organization. There is no dedicated BIE team, data engineering bench, or technical manager to lean on for design review, code review, or troubleshooting, you are the technical function for AIM28 reporting. You are comfortable being the only builder in the room and owning decisions end to end. A KPI and automation track record. You have developed and monitored KPIs that drive business decisions, and you have built automated reporting systems that replaced manual processes. Executive presence. You have experience communicating and presenting analytical results to senior leadership, in writing and in person. Ownership and judgment. You validate your own outputs, make pragmatic build-versus-reuse trade-offs, and earn trust by being right about the numbers. Organization and prioritization. You manage multiple concurrent workstreams across Big Bets without letting deliverables or timelines slip. Curiosity about AI. You are interested in applying GenAI and agents to reporting, and ideally you have already experimented with them. Technical Skills Expert SQL: complex query development, window functions, and performance tuning on large, multi-dimensional datasets from multiple sources. You write queries that need little post-processing. Data modeling and design: . click apply for full job details
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We're looking for a Senior Integration Solution Architect to design scalable, secure, and future-ready integration solutions across cloud and enterprise platforms. This role partners with application teams and business leaders to translate strategic goals into reusable, governed architecture aligned with enterprise standards. You'll lead the design of modern integration ecosystems leveraging APIs, event-driven systems, and cloud-native technologies while ensuring compliance, performance, and cost optimization. What You'll Do Architect end-to-end integration solutions across source, connectors, orchestration, transport, and target systems using domain-driven design and API-led approaches Apply a multi-platform integration strategy (MuleSoft, SAP BTP, Spring Boot, MFT, ETL, streaming) to select the right solution based on business and technical needs Create high-level and low-level technical designs leveraging MuleSoft, SAP BTP, Azure API Management, Spring Boot, Kafka, and related tools Define and enforce non-functional requirements including scalability, resiliency, availability, and performance Ensure solutions comply with IT governance frameworks (ITGC, SOX, HIPAA, DSCSA) and pass architecture review boards Guide modernization initiatives including cloud migration, API transformation, and integration platform consolidation Conduct TCO analysis and recommend cost-effective integration strategies and alternatives Collaborate with cross-functional stakeholders including engineering teams, architects, and leadership to deliver reusable and scalable integration patterns What You'll Bring Basic Requirements 7+ years of experience in integration architecture, solution architecture, or enterprise integration Bachelor's Degree or equivalent experience Proven experience designing API-led and event-driven architectures Hands-on expertise with at least one major integration platform (MuleSoft, SAP BTP, or equivalent) Strong understanding of microservices, REST APIs, messaging, ETL, and file-based integrations Experience implementing secure, scalable, and highly available distributed systems Demonstrated experience with cloud platforms (Azure, AWS, or GCP) Familiarity with governance, compliance, and architecture review processes Ability to translate business requirements into technical architecture Preferred Skills / Experience Knowledge of Kafka, IBM MQ, GoAnywhere MFT, Tibco, SAP BODS, Elasticsearch Experience with MuleSoft Anypoint Platform, SAP BTP Integration Suite, Azure APIM, Spring Boot (Java) Understanding of the Boomi platform Exposure to event streaming and real-time data pipelines Experience conducting TCO analysis and platform rationalization Familiarity with AI-enabled integration or intelligent automation Strong stakeholder management and executive communication skills Industry experience in healthcare, supply chain, or regulated environments Relevant certifications (MuleSoft, cloud provider, architecture frameworks) We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $141,900 - $236,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
09/22/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. We're looking for a Senior Integration Solution Architect to design scalable, secure, and future-ready integration solutions across cloud and enterprise platforms. This role partners with application teams and business leaders to translate strategic goals into reusable, governed architecture aligned with enterprise standards. You'll lead the design of modern integration ecosystems leveraging APIs, event-driven systems, and cloud-native technologies while ensuring compliance, performance, and cost optimization. What You'll Do Architect end-to-end integration solutions across source, connectors, orchestration, transport, and target systems using domain-driven design and API-led approaches Apply a multi-platform integration strategy (MuleSoft, SAP BTP, Spring Boot, MFT, ETL, streaming) to select the right solution based on business and technical needs Create high-level and low-level technical designs leveraging MuleSoft, SAP BTP, Azure API Management, Spring Boot, Kafka, and related tools Define and enforce non-functional requirements including scalability, resiliency, availability, and performance Ensure solutions comply with IT governance frameworks (ITGC, SOX, HIPAA, DSCSA) and pass architecture review boards Guide modernization initiatives including cloud migration, API transformation, and integration platform consolidation Conduct TCO analysis and recommend cost-effective integration strategies and alternatives Collaborate with cross-functional stakeholders including engineering teams, architects, and leadership to deliver reusable and scalable integration patterns What You'll Bring Basic Requirements 7+ years of experience in integration architecture, solution architecture, or enterprise integration Bachelor's Degree or equivalent experience Proven experience designing API-led and event-driven architectures Hands-on expertise with at least one major integration platform (MuleSoft, SAP BTP, or equivalent) Strong understanding of microservices, REST APIs, messaging, ETL, and file-based integrations Experience implementing secure, scalable, and highly available distributed systems Demonstrated experience with cloud platforms (Azure, AWS, or GCP) Familiarity with governance, compliance, and architecture review processes Ability to translate business requirements into technical architecture Preferred Skills / Experience Knowledge of Kafka, IBM MQ, GoAnywhere MFT, Tibco, SAP BODS, Elasticsearch Experience with MuleSoft Anypoint Platform, SAP BTP Integration Suite, Azure APIM, Spring Boot (Java) Understanding of the Boomi platform Exposure to event streaming and real-time data pipelines Experience conducting TCO analysis and platform rationalization Familiarity with AI-enabled integration or intelligent automation Strong stakeholder management and executive communication skills Industry experience in healthcare, supply chain, or regulated environments Relevant certifications (MuleSoft, cloud provider, architecture frameworks) We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $141,900 - $236,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Job Description Job Description Company Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. Job Description Senior AI Engineer We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office. This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and AI systems decisions while working closely with peers, product stakeholders, and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What We're Looking For: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience designing, building, and maintaining software systems Strong backend expertise in at least one strongly typed language, preferably TypeScript Solid understanding of cloud computing primitives, especially AWS Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph Experience contributing to system design and technical decision-making Experience shipping and operating multiple GenAI or LLM-powered systems in production Hands-on experience debugging scaled LLM systems and participating in incident response Experience building RAG pipelines using embeddings and vector databases Familiarity with fine-tuning or adapting models for specific tasks Experience implementing evaluation pipelines, including human-in-the-loop workflows Experience building or maintaining evaluation suites for agentic systems in production What You'll Do: Build end-to-end distributed agentic AI solutions that are reliable and scalable Own complex features or subsystems from design through deployment and operation Collaborate cross-functionally to integrate AI capabilities into products and data pipelines Contribute to architectural decisions and technical standards for AI systems Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Location: At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems Proven experience designing and deploying LLM-based or GenAI systems in real-world applications Strong programming skills in Python and experience with modern backend architecture and distributed systems Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies Experience building scalable data pipelines and working with large, messy, or unstructured datasets Ability to design systems with strong observability, reliability, and performance characteristics in mind Experience working in cross-functional environments and leading technical projects end-to-end Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
09/22/2026
Full time
Job Description Job Description Company Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, and GolfPass. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. Job Description Senior AI Engineer We're looking for a highly capable Senior AI Engineer to join our team to build the next generation of AI-powered equity research. This role is hybrid, 3 days in office. This role is for engineers who enjoy turning LLM and agentic AI capabilities into reliable product systems embedded in real-world workflows. It is especially well suited to people who want to work hands-on across architecture, implementation, and operations while helping define how AI capabilities get integrated into products used by individual investors. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge LLMs and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. You will design, build, and operate core components of our AI platform: distributed agentic workflows, retrieval and reranking systems, model integrations, and the infrastructure required to make these systems reliable, observable, and scalable in production. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and AI systems decisions while working closely with peers, product stakeholders, and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. A genuine interest in investing, public markets, and fundamental business analysis is expected. What We're Looking For: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience designing, building, and maintaining software systems Strong backend expertise in at least one strongly typed language, preferably TypeScript Solid understanding of cloud computing primitives, especially AWS Strong understanding of agentic AI concepts such as tool use, function calling, state machines or graphs, retrieval and reranking, structured outputs, memory, guardrails, and evaluation Experience developing and deploying agentic workflows using frameworks such as LangChain, Mastra, or LangGraph Experience contributing to system design and technical decision-making Experience shipping and operating multiple GenAI or LLM-powered systems in production Hands-on experience debugging scaled LLM systems and participating in incident response Experience building RAG pipelines using embeddings and vector databases Familiarity with fine-tuning or adapting models for specific tasks Experience implementing evaluation pipelines, including human-in-the-loop workflows Experience building or maintaining evaluation suites for agentic systems in production What You'll Do: Build end-to-end distributed agentic AI solutions that are reliable and scalable Own complex features or subsystems from design through deployment and operation Collaborate cross-functionally to integrate AI capabilities into products and data pipelines Contribute to architectural decisions and technical standards for AI systems Maintain observability and operational health, including cost metrics, quality monitoring, drift detection, alignment, alerting, and incident response Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Location: At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Qualifications What We're Looking For: Minimum of 5 years of experience in software engineering, with a strong track record of building and shipping production systems Proven experience designing and deploying LLM-based or GenAI systems in real-world applications Strong programming skills in Python and experience with modern backend architecture and distributed systems Understanding of LLM workflows, including prompting, tool use, retrieval-augmented generation (RAG), and evaluation methodologies Experience building scalable data pipelines and working with large, messy, or unstructured datasets Ability to design systems with strong observability, reliability, and performance characteristics in mind Experience working in cross-functional environments and leading technical projects end-to-end Strong problem-solving skills and ability to operate independently in ambiguous, fast-moving environments Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Demonstrated interest in financial markets, investing, or business analysis Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
Job Description Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As the Senior Machine Learning (ML) Engineer, you will apply expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to develop and implement innovative ML solutions that have the potential to make a significant impact in the lives of children and adolescents struggling with mental health issues. You will work with researchers, clinicians, and software engineers within DAIR and across departments to design, prototype, deploy and maintain applied ML solutions to enhance our digital mental health tools. This is an exempt, full-time, hybrid position located in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. You Will: Design, implement, and maintain machine learning models with a focus on NLP and LLMs for real-world application in the mental health field. Perform analyses on large datasets using high-performance computing infrastructures. Collaborate with cross-functional teams to integrate ML solutions into research projects and mental health tools. Develop and maintain data pipelines for training, evaluating, and deploying models. Leverage expertise to create innovative solutions to complex problems using state-of-the-art ML methods. Ensure data quality, security, and compliance with privacy regulations. Perform additional job-related duties as assigned. You Have: Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience. 8+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning). 8+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker). 3+ years of practical experience developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK). Experience can be concurrent with education. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. , EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.
09/22/2026
Full time
Job Description Job Description About Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As the Senior Machine Learning (ML) Engineer, you will apply expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to develop and implement innovative ML solutions that have the potential to make a significant impact in the lives of children and adolescents struggling with mental health issues. You will work with researchers, clinicians, and software engineers within DAIR and across departments to design, prototype, deploy and maintain applied ML solutions to enhance our digital mental health tools. This is an exempt, full-time, hybrid position located in our NYC headquarters office. The in-office requirement and schedule are subject to change based on the needs of the program and the organization. This position requires a minimum of four (4) days per week in the office, on a schedule determined by your supervisor. You Will: Design, implement, and maintain machine learning models with a focus on NLP and LLMs for real-world application in the mental health field. Perform analyses on large datasets using high-performance computing infrastructures. Collaborate with cross-functional teams to integrate ML solutions into research projects and mental health tools. Develop and maintain data pipelines for training, evaluating, and deploying models. Leverage expertise to create innovative solutions to complex problems using state-of-the-art ML methods. Ensure data quality, security, and compliance with privacy regulations. Perform additional job-related duties as assigned. You Have: Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience. 8+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning). 8+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker). 3+ years of practical experience developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK). Experience can be concurrent with education. Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. , EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.
Job Description Job Description Company Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Qualifications What You'll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Design, implement, and maintain production ML and AI systems used at scale Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality Solve complex technical problems with moderate ambiguity and strong business impact Participate in code reviews and incident retrospectives to improve system quality and reliability Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction Experience with training pipelines using frameworks such as TensorFlow or PyTorch Experience building human-in-the-loop training or evaluation workflows A genuine interest in investing, public markets, and fundamental business analysis is expected. Requirements: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems Experience building and operating production ML systems Strong proficiency in Python, TypeScript, or Java Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP Solid understanding of modern ML techniques, including deep learning and representation learning Experience contributing to system design and technical decision-making Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
09/22/2026
Full time
Job Description Job Description Company Description About StockStory VERSANT is an independent, publicly traded company that brings together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Job Description StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions. We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company. As a Senior ML Engineer, working in a team of 15 you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration. The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage. You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets. Qualifications What You'll Do: This role is for engineers who enjoy turning machine learning and AI capabilities into reliable product systems used by real customers at scale. It is especially well suited to people who want to work across the full stack of applied ML, from data pipelines and model training to inference, evaluation, and production operations. You will design, build, and operate core components of our AI platform: production-grade ML systems, LLM workflows, and supporting infrastructure that power core user experiences for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core product, engineering, and modeling decisions while working closely with senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers. Design, implement, and maintain production ML and AI systems used at scale Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality Solve complex technical problems with moderate ambiguity and strong business impact Participate in code reviews and incident retrospectives to improve system quality and reliability Support the team's overall technical growth Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues Use and improve model lifecycle management, monitoring, and evaluation frameworks Hands-on experience with neural networks, including CNNs, RNNs, Transformers, or other deep learning architectures Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction Experience with training pipelines using frameworks such as TensorFlow or PyTorch Experience building human-in-the-loop training or evaluation workflows A genuine interest in investing, public markets, and fundamental business analysis is expected. Requirements: Bachelor's degree in Computer Science or equivalent practical experience Minimum of 5 years of experience in software engineering with a focus on machine learning or AI systems Experience building and operating production ML systems Strong proficiency in Python, TypeScript, or Java Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP Solid understanding of modern ML techniques, including deep learning and representation learning Experience contributing to system design and technical decision-making Location: Hybrid 3 days in office At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities: • Sweat it out Free onsite fitness center with state-of-the-art equipment, plus daily group classes • Eat up Gourmet cafeteria with daily specials plus soup and salad bars • Extras Dry cleaning, shoe shining and sneak peeks • Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City In addition to these benefits, employees in this group will be joining at a time of meaningful and continued investment in data, technology, and product development, with the opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
Job Description Job Description Senior Integration Engineer to work on Guidewire claims center integrations and related systems. The Integration Engineer will be responsible for developing and maintaining integrations between Guidewire x-centers and various vendor systems, writing code in GOSU, and configuring application points according to specifications. The successful candidate will work closely with functional teams and business stakeholders to gather requirements, develop, test, and support integrations, while also participating in Agile scrum calls and coordinating with offshore teams. Job Responsibilities: Associate should be able to work on Guidewire claims center integration, should be able to write programs in GOSU programming language and should work on integrating different vendor points with guidewire x-centers. Need to work closely with the functional team and with business, to get requirements, develop code, test and support testing. Associate need to attend scrum calls, participate in offshore calls, coordinate with offshore team and delivery quality code Understand the interface requirements and configuration architecture. Create high level and detailed design document for one or more integrations. Configure application points as per specification using Guidewire components Work in Agile environments Knowledge of working with UI Frameworks (like Angular) is a plus Knowledge of working with monitoring tools like AppDynamics Strong understanding of object-oriented design best practices Knowledge of researching and preparing detailed technical specifications Good knowledge of estimating, planning and tracking development tasks Experience with debugging production issues and resolving them Experience with identifying application performance bottlenecks and resolving them In depth hands-on experience with continuous integration practices, processes and tools (Jenkins, JUNIT, GitLab) Proficient in writing configurable, maintainable and testable code in a highly collaborative environment Required Qualifications: Guidewire Integration Certification Minimum 7 years of IT hands-on application development experience Minimum 4 years of IT hands-on development experience with Guidewire x-centers Experienced in Guidewire cloud Proven experience with Configuration and Integration experience with Guidewire x-centers Minimum 4 years of hand on experience with SQL (SQL server/Oracle/DB2)/No SQL related technologies Minimum 2 years of experience integrating with RESTful /SOAP Web services Experience in participating in functional workshops, defining integration backlog, sprint planning and handling scope, dependency & risks. Experience in requirement elicitation, gap analysis, process modelling, requirement management, driving UAT, defining implementation and data migration plans, product support and user training. Customer interfacing experience - Project oversight, customer relationship Management, Leading partner recommendations and resolution recommendations. Agile Scrum development methodology experience using Agile Management Tool such as DevOps / JIRA. Bachelor's degree or higher Solid communication skills - verbal, written and presentation Ability to quickly adapt to new and evolving situations
09/22/2026
Full time
Job Description Job Description Senior Integration Engineer to work on Guidewire claims center integrations and related systems. The Integration Engineer will be responsible for developing and maintaining integrations between Guidewire x-centers and various vendor systems, writing code in GOSU, and configuring application points according to specifications. The successful candidate will work closely with functional teams and business stakeholders to gather requirements, develop, test, and support integrations, while also participating in Agile scrum calls and coordinating with offshore teams. Job Responsibilities: Associate should be able to work on Guidewire claims center integration, should be able to write programs in GOSU programming language and should work on integrating different vendor points with guidewire x-centers. Need to work closely with the functional team and with business, to get requirements, develop code, test and support testing. Associate need to attend scrum calls, participate in offshore calls, coordinate with offshore team and delivery quality code Understand the interface requirements and configuration architecture. Create high level and detailed design document for one or more integrations. Configure application points as per specification using Guidewire components Work in Agile environments Knowledge of working with UI Frameworks (like Angular) is a plus Knowledge of working with monitoring tools like AppDynamics Strong understanding of object-oriented design best practices Knowledge of researching and preparing detailed technical specifications Good knowledge of estimating, planning and tracking development tasks Experience with debugging production issues and resolving them Experience with identifying application performance bottlenecks and resolving them In depth hands-on experience with continuous integration practices, processes and tools (Jenkins, JUNIT, GitLab) Proficient in writing configurable, maintainable and testable code in a highly collaborative environment Required Qualifications: Guidewire Integration Certification Minimum 7 years of IT hands-on application development experience Minimum 4 years of IT hands-on development experience with Guidewire x-centers Experienced in Guidewire cloud Proven experience with Configuration and Integration experience with Guidewire x-centers Minimum 4 years of hand on experience with SQL (SQL server/Oracle/DB2)/No SQL related technologies Minimum 2 years of experience integrating with RESTful /SOAP Web services Experience in participating in functional workshops, defining integration backlog, sprint planning and handling scope, dependency & risks. Experience in requirement elicitation, gap analysis, process modelling, requirement management, driving UAT, defining implementation and data migration plans, product support and user training. Customer interfacing experience - Project oversight, customer relationship Management, Leading partner recommendations and resolution recommendations. Agile Scrum development methodology experience using Agile Management Tool such as DevOps / JIRA. Bachelor's degree or higher Solid communication skills - verbal, written and presentation Ability to quickly adapt to new and evolving situations
Job Description Job Description Senior AI Engineer Location: New York City Work Style: Hybrid Onsite Employment Type: Full-time Focus: AI, LLMs, Clinical Reasoning, Evaluation, Retrieval, Applied ML About Our Client Our client is building AI technology with the mission of making high-quality healthcare more accessible, affordable, and scalable. Their AI-powered clinical platform already supports millions of patient consultations, and the company is working toward scaling that impact significantly while continuing to improve clinical safety, reasoning quality, accuracy, and trust. This is an opportunity to join a team building real-world clinical AI systems used by patients every day. The company operates in a live healthcare environment, giving the team a unique dataset and feedback loop to test, improve, and deploy AI systems in practical clinical care. About the Role Our client is hiring a Senior AI Engineer to help build the next generation of clinical AI systems. This role blends research and engineering. The ideal candidate is not just running experiments or writing notebooks - they are building real systems that reason, retrieve evidence, evaluate performance, and improve over time. You'll work on agentic reasoning, retrieval, evaluation infrastructure, model learning, and clinical decision support systems. The goal is to help every component of the AI platform become safer, more accurate, more useful, and more trustworthy with each iteration. What You'll Do Design and build agentic clinical reasoning systems Develop AI architectures that support reasoning, reflection, verification, tool use, routing, uncertainty handling, and escalation Build systems where specialized agents and models work together to support safe and reliable clinical decisions Create evaluation platforms, rubrics, simulations, and experiments to measure AI performance in clinical use cases Identify whether improvements should come from reasoning, retrieval, model behavior, data, or engineering changes Apply methods such as fine-tuning, distillation, reinforcement learning, preference optimization, and prompt or system optimization Build training data, feedback, reward, and experimentation pipelines Develop search, ranking, retrieval, and grounding algorithms tied to trusted medical evidence and patient context Improve retrieval systems based on their impact on downstream clinical decisions, not just document relevance Own problems end-to-end, from framing and experimentation through shipping and measurement Collaborate closely with engineering, clinical, product, and physician-scientist partners What We're Looking For Strong experience building real AI, ML, or LLM-powered systems Deep experience in at least two of the following areas: Agentic architectures, reasoning systems, and tool use Model evaluation, experimentation, and rubric design Model training, fine-tuning, distillation, or reinforcement learning Search, ranking, retrieval, RAG, or grounding systems Strong ML fundamentals, including training data, objectives, metrics, failure analysis, calibration, and validation Ability to work in complex domains where ground truth is incomplete and expert opinions may differ Strong engineering fundamentals with experience building production systems, not just research prototypes Clear communication and strong collaboration across engineering, clinical, and product teams Ability to think through business impact and prioritize technical work accordingly Comfort operating with autonomy in a builder-first environment Experience Profile Successful candidates will typically have one of the following backgrounds: Advanced degree in a quantitative, computational, scientific, or related discipline with 3+ years of highly relevant applied AI/ML or research experience 7+ years of relevant experience building and researching ML systems Recent hands-on work with LLMs, generative AI, agentic systems, retrieval systems, or production AI infrastructure Our client cares more about the depth and quality of your work than a specific credential or traditional career path. Bonus Experience Published research, patents, meaningful open-source contributions, or novel production ML systems Experience building AI systems at an early-stage or high-growth company Experience in healthcare, clinical AI, regulated industries, or safety-critical environments Familiarity with clinical workflows, healthcare data, HIPAA, FHIR, EHR systems, or HL7 Experience with human-feedback systems, RLHF, simulations, or synthetic data generation Experience with AI safety, bias detection, calibration, fairness, or model reliability Why This Opportunity Build AI systems that can meaningfully improve access to healthcare Work on real clinical AI problems with real patient usage and feedback Join a team focused on reasoning, retrieval, evaluation, safety, and trust Work side by side with physician-scientists and experienced technical builders Own high-impact AI systems end-to-end Operate with autonomy in a fast-moving, builder-first environment Contribute to technology designed to scale from millions of consultations to much larger clinical impact Compensation & Benefits Competitive salary Meaningful equity with upside as the company grows Comprehensive health benefits High autonomy and ownership over important technical problems Opportunity to build AI systems transforming healthcare at scale Ideal Candidate Profile The ideal candidate is a research-minded AI engineer who wants to build intelligent systems that work in the real world. They care deeply about reasoning quality, evaluation, safety, and measurable improvement - and they have the engineering ability to turn ambitious ideas into production systems. This person is excited by the challenge of building clinical AI that can earn trust over time.
09/22/2026
Full time
Job Description Job Description Senior AI Engineer Location: New York City Work Style: Hybrid Onsite Employment Type: Full-time Focus: AI, LLMs, Clinical Reasoning, Evaluation, Retrieval, Applied ML About Our Client Our client is building AI technology with the mission of making high-quality healthcare more accessible, affordable, and scalable. Their AI-powered clinical platform already supports millions of patient consultations, and the company is working toward scaling that impact significantly while continuing to improve clinical safety, reasoning quality, accuracy, and trust. This is an opportunity to join a team building real-world clinical AI systems used by patients every day. The company operates in a live healthcare environment, giving the team a unique dataset and feedback loop to test, improve, and deploy AI systems in practical clinical care. About the Role Our client is hiring a Senior AI Engineer to help build the next generation of clinical AI systems. This role blends research and engineering. The ideal candidate is not just running experiments or writing notebooks - they are building real systems that reason, retrieve evidence, evaluate performance, and improve over time. You'll work on agentic reasoning, retrieval, evaluation infrastructure, model learning, and clinical decision support systems. The goal is to help every component of the AI platform become safer, more accurate, more useful, and more trustworthy with each iteration. What You'll Do Design and build agentic clinical reasoning systems Develop AI architectures that support reasoning, reflection, verification, tool use, routing, uncertainty handling, and escalation Build systems where specialized agents and models work together to support safe and reliable clinical decisions Create evaluation platforms, rubrics, simulations, and experiments to measure AI performance in clinical use cases Identify whether improvements should come from reasoning, retrieval, model behavior, data, or engineering changes Apply methods such as fine-tuning, distillation, reinforcement learning, preference optimization, and prompt or system optimization Build training data, feedback, reward, and experimentation pipelines Develop search, ranking, retrieval, and grounding algorithms tied to trusted medical evidence and patient context Improve retrieval systems based on their impact on downstream clinical decisions, not just document relevance Own problems end-to-end, from framing and experimentation through shipping and measurement Collaborate closely with engineering, clinical, product, and physician-scientist partners What We're Looking For Strong experience building real AI, ML, or LLM-powered systems Deep experience in at least two of the following areas: Agentic architectures, reasoning systems, and tool use Model evaluation, experimentation, and rubric design Model training, fine-tuning, distillation, or reinforcement learning Search, ranking, retrieval, RAG, or grounding systems Strong ML fundamentals, including training data, objectives, metrics, failure analysis, calibration, and validation Ability to work in complex domains where ground truth is incomplete and expert opinions may differ Strong engineering fundamentals with experience building production systems, not just research prototypes Clear communication and strong collaboration across engineering, clinical, and product teams Ability to think through business impact and prioritize technical work accordingly Comfort operating with autonomy in a builder-first environment Experience Profile Successful candidates will typically have one of the following backgrounds: Advanced degree in a quantitative, computational, scientific, or related discipline with 3+ years of highly relevant applied AI/ML or research experience 7+ years of relevant experience building and researching ML systems Recent hands-on work with LLMs, generative AI, agentic systems, retrieval systems, or production AI infrastructure Our client cares more about the depth and quality of your work than a specific credential or traditional career path. Bonus Experience Published research, patents, meaningful open-source contributions, or novel production ML systems Experience building AI systems at an early-stage or high-growth company Experience in healthcare, clinical AI, regulated industries, or safety-critical environments Familiarity with clinical workflows, healthcare data, HIPAA, FHIR, EHR systems, or HL7 Experience with human-feedback systems, RLHF, simulations, or synthetic data generation Experience with AI safety, bias detection, calibration, fairness, or model reliability Why This Opportunity Build AI systems that can meaningfully improve access to healthcare Work on real clinical AI problems with real patient usage and feedback Join a team focused on reasoning, retrieval, evaluation, safety, and trust Work side by side with physician-scientists and experienced technical builders Own high-impact AI systems end-to-end Operate with autonomy in a fast-moving, builder-first environment Contribute to technology designed to scale from millions of consultations to much larger clinical impact Compensation & Benefits Competitive salary Meaningful equity with upside as the company grows Comprehensive health benefits High autonomy and ownership over important technical problems Opportunity to build AI systems transforming healthcare at scale Ideal Candidate Profile The ideal candidate is a research-minded AI engineer who wants to build intelligent systems that work in the real world. They care deeply about reasoning quality, evaluation, safety, and measurable improvement - and they have the engineering ability to turn ambitious ideas into production systems. This person is excited by the challenge of building clinical AI that can earn trust over time.
Job Description Job Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" - better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. - and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services. Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes. Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them. Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI. Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products. Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders. Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations. The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role. Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred). A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews. Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus). Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking. Experience supporting AI/ML or data-intensive workloads in production is a plus. Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus. Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is 191 000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use and email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .
09/22/2026
Full time
Job Description Job Description What you'll be part of Garner is on a mission to transform the U.S. healthcare system - and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" - better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. - and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Senior Site Reliability Engineer to own the reliability, performance, and resilience of the cloud infrastructure powering Garner's products and AI/ML workloads. This role sits on our Platform Engineering team. You will run the machine: defining and upholding SLOs, leading incident response, and driving the automation and standards that let every Garner engineer ship faster and more reliably. Because our systems directly influence health outcomes for millions of patients, maintaining the highest standards of production quality is imperative. This is an automation-first role: you will use AI tools to continuously convert manual operational work into monitored, hands-free processes, so the role gets more leveraged as you build. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Run the Machine: Own the end-to-end reliability, performance, and resilience of Garner's cloud environments (AWS, Kubernetes), including those powering AI/ML workloads; define, measure, and uphold SLOs across our critical services. Lead Incident Response: Serve in the on-call rotation, lead incident response, and drive deep-dive root cause analysis, seeing corrective actions through to resolution and rigorously reviewing infrastructure changes. Own Observability: Build and maintain the monitoring, alerting, and observability systems that let us detect and resolve issues before users feel them. Scale & Optimize: Translate ambiguous, high-performance scaling requirements into well-defined, automated, and composable infrastructure-as-code deliverables (Terraform); proactively identify and implement cost-efficiency and performance gains across the stack to maximize cloud ROI. Automate Away Toil: Pay down impactful tech debt and reduce operational toil, using AI tools and automation to convert repetitive operational work into hands-free, monitored processes, and holding our internal platform to the same rigorous standards as our customer-facing products. Enable Engineering: Build and maintain the deployment and observability standards that empower the broader engineering team to ship AI features faster and more reliably; communicate complex cloud and reliability concepts clearly to technical and non-technical stakeholders. Uphold Security & Compliance: Ensure our infrastructure and operations meet Garner's security and HIPAA compliance obligations. The ideal candidate has: 4+ years of hands-on experience operating production cloud infrastructure at scale in an SRE, DevOps, or platform engineering role. Deep expertise with Kubernetes and Terraform in a cloud-first environment (AWS preferred). A strong track record with production observability: defining SLOs, building monitoring and alerting, and leading incident response and blameless post-incident reviews. Strong software engineering fundamentals in Python or Go, applied to infrastructure automation (experience with Kubernetes APIs a plus). Experience driving cloud cost-efficiency and performance optimization across compute, storage, and networking. Experience supporting AI/ML or data-intensive workloads in production is a plus. Experience operating in a security-conscious or regulated environment (HIPAA, SOC 2) is a plus. Fluency with AI tools (e.g., Claude) applied to real engineering and operations workflows, or strong motivation to build it fast. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. Technologies we use: AWS, Kubernetes, Terraform, Istio, Python, Go, TypeScript, Postgres, NATS, Datadog, GitLab This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. We are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target range for this position is 191 000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use and email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .
