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 is looking for a Senior Digital Engineer - Full Stack & Systems Architecture to join our team in Charleston, SC; El Segundo, CA; Huntsville, AL; Mesa, AZ; Oklahoma City, OK, Philadelphia, PA; or Berkeley, MO. Boeing Test & Evaluation (BT&E) generates enormous volumes of data, but data alone does not create insight. We are building a Digital Engineering capability focused on transforming test intent into reusable knowledge through intuitive applications, scalable systems, and thoughtful architecture. As a Digital Engineer - Full Stack & Systems Architecture, you will sit at the intersection of engineering workflows, software systems, and cloud platforms. Your mission is to empower BT&E engineers to work differently by designing and delivering digital products that shorten feedback loops, reduce friction, and accelerate learning from every test event. This is not a traditional backend or data engineering role. You will design end to end solutions, working from initial understanding of engineer needs, to shaping application architecture, to implementing full stack solutions that integrate data, automation, and cloud services. You will partner closely with BT&E, BCA, BDS, and Wisk/Autonomy engineers to modernize how test data is accessed, explored, and operationalized across Boeing. If you enjoy systems thinking, building products engineers actually want to use, and architecting platforms that scale across programs and clouds, this role is for you. Position Responsibilities: Digital Product & Application Development Design and develop full stack applications that improve test and evaluation workflows, decision making, and engineering productivity Translate ambiguous engineering problems into clear digital solutions, balancing usability, performance, and scalability Develop front end and backend services using modern frameworks (e.g., React, Node.js, Python, .NET) Design and implement APIs and service interfaces that enable integration across test systems, analytics platforms, and enterprise tools Systems Architecture & Cloud Engineering Architect end to end systems spanning applications, data services, and cloud infrastructure Evaluate and select cloud services across AWS and Azure based on cost, usability, scalability, and long term maintainability Implement infrastructure as code using Terraform, CloudFormation, ARM, or Bicep to support repeatable, secure deployments Design solutions that support multi cloud and hybrid environments as required by program needs Data Enabled Engineering (as a Platform Capability) Design data models and storage solutions that support both transactional systems and analytical workloads Build and integrate data services that allow engineers to discover, explore, and reuse test data efficiently Collaborate with data scientists and analysts to enable analytics, visualization, and ML workflows without burdening users with infrastructure complexity DevOps, Reliability & Security Build CI/CD pipelines to support rapid iteration, testing, and safe deployment of applications Apply SRE principles to ensure reliability, observability, and operational excellence Build and maintain observability capabilities-including logs, metrics, and traces-to enable rapid diagnosis, performance optimization, and reliable operation of digital engineering systems Partner with security and compliance teams to ensure solutions meet Boeing security, data governance, and regulatory requirements Contribute to operational documentation, runbooks, and continuous improvement efforts Collaboration & Technical Leadership Work closely with engineers, product owners, and stakeholders to shape digital roadmaps and technical direction Influence architecture and design decisions across programs through systems thinking and engineering judgment Collaborate with peers and contribute to a growing Digital Engineering community within BT&E Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of experience developing full stack applications with modern frameworks Strong systems thinking skills with experience designing end to end software solutions Proficiency in one or more programming languages (JavaScript/TypeScript, Python, C#, or Go) Experience deploying and operating applications in cloud environments (Azure and/or AWS) Hands on experience with infrastructure as code (Terraform, CloudFormation, ARM/Bicep) Working knowledge of CI/CD pipelines, Git, Docker, and Linux Experience designing and working with relational databases (e.g., PostgreSQL), including schema design and performance considerations Familiarity with security best practices (IAM, secrets management, network controls) Preferred Qualifications (Desired Skills/Experience): Experience designing developer platforms or internal engineering tools Background in Digital Engineering, Model Based Systems Engineering (MBSE), or engineering workflow automation Cloud certifications (AWS and/or Azure) Experience with Kubernetes, serverless architectures, or event driven systems Exposure to data pipelines, analytics platforms, or data enabled applications Experience working in regulated or safety critical environments Understanding of aerospace, test & evaluation, or large scale engineering programs Familiarity with ITAR, EAR, DFARS, or similar compliance frameworks 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. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. 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: $127,500 - $197,800 Applications for this position will be accepted until Mar. 21, 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. 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.
03/19/2026
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 is looking for a Senior Digital Engineer - Full Stack & Systems Architecture to join our team in Charleston, SC; El Segundo, CA; Huntsville, AL; Mesa, AZ; Oklahoma City, OK, Philadelphia, PA; or Berkeley, MO. Boeing Test & Evaluation (BT&E) generates enormous volumes of data, but data alone does not create insight. We are building a Digital Engineering capability focused on transforming test intent into reusable knowledge through intuitive applications, scalable systems, and thoughtful architecture. As a Digital Engineer - Full Stack & Systems Architecture, you will sit at the intersection of engineering workflows, software systems, and cloud platforms. Your mission is to empower BT&E engineers to work differently by designing and delivering digital products that shorten feedback loops, reduce friction, and accelerate learning from every test event. This is not a traditional backend or data engineering role. You will design end to end solutions, working from initial understanding of engineer needs, to shaping application architecture, to implementing full stack solutions that integrate data, automation, and cloud services. You will partner closely with BT&E, BCA, BDS, and Wisk/Autonomy engineers to modernize how test data is accessed, explored, and operationalized across Boeing. If you enjoy systems thinking, building products engineers actually want to use, and architecting platforms that scale across programs and clouds, this role is for you. Position Responsibilities: Digital Product & Application Development Design and develop full stack applications that improve test and evaluation workflows, decision making, and engineering productivity Translate ambiguous engineering problems into clear digital solutions, balancing usability, performance, and scalability Develop front end and backend services using modern frameworks (e.g., React, Node.js, Python, .NET) Design and implement APIs and service interfaces that enable integration across test systems, analytics platforms, and enterprise tools Systems Architecture & Cloud Engineering Architect end to end systems spanning applications, data services, and cloud infrastructure Evaluate and select cloud services across AWS and Azure based on cost, usability, scalability, and long term maintainability Implement infrastructure as code using Terraform, CloudFormation, ARM, or Bicep to support repeatable, secure deployments Design solutions that support multi cloud and hybrid environments as required by program needs Data Enabled Engineering (as a Platform Capability) Design data models and storage solutions that support both transactional systems and analytical workloads Build and integrate data services that allow engineers to discover, explore, and reuse test data efficiently Collaborate with data scientists and analysts to enable analytics, visualization, and ML workflows without burdening users with infrastructure complexity DevOps, Reliability & Security Build CI/CD pipelines to support rapid iteration, testing, and safe deployment of applications Apply SRE principles to ensure reliability, observability, and operational excellence Build and maintain observability capabilities-including logs, metrics, and traces-to enable rapid diagnosis, performance optimization, and reliable operation of digital engineering systems Partner with security and compliance teams to ensure solutions meet Boeing security, data governance, and regulatory requirements Contribute to operational documentation, runbooks, and continuous improvement efforts Collaboration & Technical Leadership Work closely with engineers, product owners, and stakeholders to shape digital roadmaps and technical direction Influence architecture and design decisions across programs through systems thinking and engineering judgment Collaborate with peers and contribute to a growing Digital Engineering community within BT&E Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 5+ years of experience developing full stack applications with modern frameworks Strong systems thinking skills with experience designing end to end software solutions Proficiency in one or more programming languages (JavaScript/TypeScript, Python, C#, or Go) Experience deploying and operating applications in cloud environments (Azure and/or AWS) Hands on experience with infrastructure as code (Terraform, CloudFormation, ARM/Bicep) Working knowledge of CI/CD pipelines, Git, Docker, and Linux Experience designing and working with relational databases (e.g., PostgreSQL), including schema design and performance considerations Familiarity with security best practices (IAM, secrets management, network controls) Preferred Qualifications (Desired Skills/Experience): Experience designing developer platforms or internal engineering tools Background in Digital Engineering, Model Based Systems Engineering (MBSE), or engineering workflow automation Cloud certifications (AWS and/or Azure) Experience with Kubernetes, serverless architectures, or event driven systems Exposure to data pipelines, analytics platforms, or data enabled applications Experience working in regulated or safety critical environments Understanding of aerospace, test & evaluation, or large scale engineering programs Familiarity with ITAR, EAR, DFARS, or similar compliance frameworks 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. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. 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: $127,500 - $197,800 Applications for this position will be accepted until Mar. 21, 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. 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.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Cloud Software Engineer Job Code: 32132 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The Mission Networks Cloud Engineering team is growing experienced a Senior Software Engineer to leverage Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering solutions to improve customer operations and to provide information management services. The team values strong knowledge of software development best practices and experience delivering & deploying Cloud based applications and services. As a member of the L3Harris team, you will work alongside various cross-functional teams to help define requirements, software architectures, APIs, serverless frameworks and libraries to ensure the mission critical readiness of programs. You will collaborate as part of a development team to implement Cloud solutions while following proven best practices. The team may work on tasks such as fast prototyping, researching COTS products for integration to L3Harris Cloud applications, or implementing & deploying solutions to meet requirements. Essential Functions: Lead tasks related to design, development and integration of Cloud software applications in an Agile development environment. Develop Cloud based applications and configure the deployment environments to achieve end-to-end integration between Cloud and Non-Cloud components. Implement applications satisfying both the program requirements and the business vision & roadmap for Cloud technologies. Coordinate with development team and customers to review designs and estimates, including identifying and documenting risks, assumptions and limitations. Leverage DevOps concepts and best practices to build and continuously improve the automated build, test and deployment environments for the applications. Provide operational support for applications and tools to meet high availability and other SLAs. Hands-on experience designing, developing, and deploying microservices to a Kubernetes based environments such as EKS, OpenShift, etc. Knowledge of microservice architectural patterns. Perform in cloud environments with focus on containerized workloads, databases, and object storage. Develop scalable, highly-available enterprise systems, ideally for Cloud. Ability to obtain and maintain an FAA public trust clearance. Qualifications: Bachelor's Degree in Computer Engineering, Computer Science, or a related field with a minimum 6-9 years software experience. Graduate Degree with a minimum of 4-7 years of software experience. In lieu of a degree, minimum of 10-12 years of software experience. Preferred Additional Skills: 5+ years Cloud Software Developer 5+ years OOP (Java, C++, Python) 3 years' experience of Java software development including the use of Web Services, JMS, and application servers and JavaScript development with in- depth knowledge of NodeJS or ReactJS 3 years' experience developing applications that leverage relational and noSQL databases. Experience with DevOps tools and concepts, including but not limited to: Jira, Confluence, GitLab, Git, Nexus, Docker, Kubernetes, CI/CD pipelines & automation. AWS Certified Solutions Architect (Associate or Professional) or similar for other Cloud providers JavaScript, JQuery, XML, Web services (REST, SOAP) and/or similar technologies Scripting languages, such as Python and Bash Ability to write well designed, testable, efficient code and coach team to do the same. Experience verifying designs are compliant with specifications. LI-DK2 L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish
03/18/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Cloud Software Engineer Job Code: 32132 Job Location: Melbourne, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: The Mission Networks Cloud Engineering team is growing experienced a Senior Software Engineer to leverage Cloud Service Providers (AWS, Microsoft Azure, Google Cloud) in delivering solutions to improve customer operations and to provide information management services. The team values strong knowledge of software development best practices and experience delivering & deploying Cloud based applications and services. As a member of the L3Harris team, you will work alongside various cross-functional teams to help define requirements, software architectures, APIs, serverless frameworks and libraries to ensure the mission critical readiness of programs. You will collaborate as part of a development team to implement Cloud solutions while following proven best practices. The team may work on tasks such as fast prototyping, researching COTS products for integration to L3Harris Cloud applications, or implementing & deploying solutions to meet requirements. Essential Functions: Lead tasks related to design, development and integration of Cloud software applications in an Agile development environment. Develop Cloud based applications and configure the deployment environments to achieve end-to-end integration between Cloud and Non-Cloud components. Implement applications satisfying both the program requirements and the business vision & roadmap for Cloud technologies. Coordinate with development team and customers to review designs and estimates, including identifying and documenting risks, assumptions and limitations. Leverage DevOps concepts and best practices to build and continuously improve the automated build, test and deployment environments for the applications. Provide operational support for applications and tools to meet high availability and other SLAs. Hands-on experience designing, developing, and deploying microservices to a Kubernetes based environments such as EKS, OpenShift, etc. Knowledge of microservice architectural patterns. Perform in cloud environments with focus on containerized workloads, databases, and object storage. Develop scalable, highly-available enterprise systems, ideally for Cloud. Ability to obtain and maintain an FAA public trust clearance. Qualifications: Bachelor's Degree in Computer Engineering, Computer Science, or a related field with a minimum 6-9 years software experience. Graduate Degree with a minimum of 4-7 years of software experience. In lieu of a degree, minimum of 10-12 years of software experience. Preferred Additional Skills: 5+ years Cloud Software Developer 5+ years OOP (Java, C++, Python) 3 years' experience of Java software development including the use of Web Services, JMS, and application servers and JavaScript development with in- depth knowledge of NodeJS or ReactJS 3 years' experience developing applications that leverage relational and noSQL databases. Experience with DevOps tools and concepts, including but not limited to: Jira, Confluence, GitLab, Git, Nexus, Docker, Kubernetes, CI/CD pipelines & automation. AWS Certified Solutions Architect (Associate or Professional) or similar for other Cloud providers JavaScript, JQuery, XML, Web services (REST, SOAP) and/or similar technologies Scripting languages, such as Python and Bash Ability to write well designed, testable, efficient code and coach team to do the same. Experience verifying designs are compliant with specifications. LI-DK2 L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish
About the Job: The CMDB Engineer is responsible for the design, implementation, and maintenance of the Configuration Management Database (CMDB) to ensure accurate and reliable data is available for IT service management processes. This role involves collaborating with various IT teams to ensure the CMDB supports the organization's IT infrastructure and service management needs, including mainframe discovery and integration with Tanium into ServiceNow Discovery. What You'll Do: CMDB Design and Implementation: Design scalable CMDB architecture integrating systems like mainframe and Tanium. CMDB Design and Implementation: Design scalable CMDB architecture integrating systems like mainframe and Tanium. Data Management and Integrity: Establish data quality standards and perform regular audits and validations. Data Management and Integrity: Establish data quality standards and perform regular audits and validations. Process Development and Improvement : Document CMDB processes and optimize them with Lean or Six Sigma. Process Development and Improvement : Document CMDB processes and optimize them with Lean or Six Sigma. Stakeholder Collaboration: Gather requirements, provide training, and facilitate communication between teams. Stakeholder Collaboration: Gather requirements, provide training, and facilitate communication between teams. Tool Administration and Support : Administer and troubleshoot CMDB tools while maintaining detailed documentation. Tool Administration and Support : Administer and troubleshoot CMDB tools while maintaining detailed documentation. Reporting and Analysis: Create reports and dashboards to analyze CMDB data and provide recommendations. Reporting and Analysis: Create reports and dashboards to analyze CMDB data and provide recommendations. Compliance and Security: Ensure CMDB compliance with regulations and implement robust security measures. Compliance and Security: Ensure CMDB compliance with regulations and implement robust security measures. Mainframe Discover : Integrate and automate mainframe system data collection and monitoring. Mainframe Discover : Integrate and automate mainframe system data collection and monitoring. Tanium Integration: Develop and monitor Tanium integration with ServiceNow for enhanced data accuracy and automation. Tanium Integration: Develop and monitor Tanium integration with ServiceNow for enhanced data accuracy and automation. What Sets You Apart Experienced across ITIL process areas, with a focus on Configuration Management and Change Management. Understanding of cloud computing fundamentals across multiple cloud providers (AWS, Azure, etc.).- Infrastructure Knowledge: In-depth knowledge of infrastructure environments, including servers, storage, virtualization, and mainframe systems. Strong understanding of network concepts, including LAN, WAN, network protocols, and mainframe connectivity.- ServiceNow Proficiency: Proficient and knowledgeable of ServiceNow's Discovery platform, Common Service Model, and Service Mapping techniques. Experience with Tanium platform, including its integration capabilities and endpoint management features.- CMDB Tools Experience: Experience with CMDB tools and platforms, such as BMC Remedy, IBM Z Discovery, and other ITSM solutions. Strong analytical skills with the ability to interpret complex data sets using SQL, Python, or R.- Communication Skills: Excellent communication skills, both written and verbal, for effective collaboration with stakeholders. Ability to work independently and manage multiple priorities in a fast-paced environment. What Sets You Apart: Discovery administration and pattern development (expert) JavaScript/Json (expert) Experience developing and implementing CMDB (expert) Experience implementing data models, CI classes, and relationships (expert) Ready to take your career to the next level? Apply today and help us shape the future of investment products at Northwestern Mutual. Compensation Range: Pay Range - Start: $94,640.00 Pay Range - End: $175,760.00 Geographic Specific Pay Structure: Structure 110: Structure 115: We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Analytical Thinking (NM) - Advanced, Enterprise Architecture (NM) - Intermediate, Customer Centricity (NM) - Advanced, Cloud Infrastructure (NM) - Advanced, Technical Communication (NM) - Advanced (Inactive), Cross Functional Partnering & Planning (NM) - Intermediate, Automation Strategy & Implementation (NM) - Advanced, Professional Curiosity (NM) - Advanced (Inactive), Infrastructure Development (NM) - Advanced, Strategic Thinking (NM) - Intermediate, Industry Standard Frameworks (NM) - Advanced, Technical Problem Solving (NM) - Advanced, SaaS (Software as a Service) (NM) - Intermediate, OS Level Knowledge (NM) - Advanced, Adaptive Communication (NM) - Advanced, Project Methodologies (NM) - Intermediate, Monitor System Health (NM) - Advanced, Technical Solution Development (NM) - Advanced (Inactive), Accountability (NM) - Intermediate, Programming Languages (NM) - Advanced, Container Orchestration (NM) - Intermediate FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:Technology,
03/18/2026
Full time
About the Job: The CMDB Engineer is responsible for the design, implementation, and maintenance of the Configuration Management Database (CMDB) to ensure accurate and reliable data is available for IT service management processes. This role involves collaborating with various IT teams to ensure the CMDB supports the organization's IT infrastructure and service management needs, including mainframe discovery and integration with Tanium into ServiceNow Discovery. What You'll Do: CMDB Design and Implementation: Design scalable CMDB architecture integrating systems like mainframe and Tanium. CMDB Design and Implementation: Design scalable CMDB architecture integrating systems like mainframe and Tanium. Data Management and Integrity: Establish data quality standards and perform regular audits and validations. Data Management and Integrity: Establish data quality standards and perform regular audits and validations. Process Development and Improvement : Document CMDB processes and optimize them with Lean or Six Sigma. Process Development and Improvement : Document CMDB processes and optimize them with Lean or Six Sigma. Stakeholder Collaboration: Gather requirements, provide training, and facilitate communication between teams. Stakeholder Collaboration: Gather requirements, provide training, and facilitate communication between teams. Tool Administration and Support : Administer and troubleshoot CMDB tools while maintaining detailed documentation. Tool Administration and Support : Administer and troubleshoot CMDB tools while maintaining detailed documentation. Reporting and Analysis: Create reports and dashboards to analyze CMDB data and provide recommendations. Reporting and Analysis: Create reports and dashboards to analyze CMDB data and provide recommendations. Compliance and Security: Ensure CMDB compliance with regulations and implement robust security measures. Compliance and Security: Ensure CMDB compliance with regulations and implement robust security measures. Mainframe Discover : Integrate and automate mainframe system data collection and monitoring. Mainframe Discover : Integrate and automate mainframe system data collection and monitoring. Tanium Integration: Develop and monitor Tanium integration with ServiceNow for enhanced data accuracy and automation. Tanium Integration: Develop and monitor Tanium integration with ServiceNow for enhanced data accuracy and automation. What Sets You Apart Experienced across ITIL process areas, with a focus on Configuration Management and Change Management. Understanding of cloud computing fundamentals across multiple cloud providers (AWS, Azure, etc.).- Infrastructure Knowledge: In-depth knowledge of infrastructure environments, including servers, storage, virtualization, and mainframe systems. Strong understanding of network concepts, including LAN, WAN, network protocols, and mainframe connectivity.- ServiceNow Proficiency: Proficient and knowledgeable of ServiceNow's Discovery platform, Common Service Model, and Service Mapping techniques. Experience with Tanium platform, including its integration capabilities and endpoint management features.- CMDB Tools Experience: Experience with CMDB tools and platforms, such as BMC Remedy, IBM Z Discovery, and other ITSM solutions. Strong analytical skills with the ability to interpret complex data sets using SQL, Python, or R.- Communication Skills: Excellent communication skills, both written and verbal, for effective collaboration with stakeholders. Ability to work independently and manage multiple priorities in a fast-paced environment. What Sets You Apart: Discovery administration and pattern development (expert) JavaScript/Json (expert) Experience developing and implementing CMDB (expert) Experience implementing data models, CI classes, and relationships (expert) Ready to take your career to the next level? Apply today and help us shape the future of investment products at Northwestern Mutual. Compensation Range: Pay Range - Start: $94,640.00 Pay Range - End: $175,760.00 Geographic Specific Pay Structure: Structure 110: Structure 115: We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Analytical Thinking (NM) - Advanced, Enterprise Architecture (NM) - Intermediate, Customer Centricity (NM) - Advanced, Cloud Infrastructure (NM) - Advanced, Technical Communication (NM) - Advanced (Inactive), Cross Functional Partnering & Planning (NM) - Intermediate, Automation Strategy & Implementation (NM) - Advanced, Professional Curiosity (NM) - Advanced (Inactive), Infrastructure Development (NM) - Advanced, Strategic Thinking (NM) - Intermediate, Industry Standard Frameworks (NM) - Advanced, Technical Problem Solving (NM) - Advanced, SaaS (Software as a Service) (NM) - Intermediate, OS Level Knowledge (NM) - Advanced, Adaptive Communication (NM) - Advanced, Project Methodologies (NM) - Intermediate, Monitor System Health (NM) - Advanced, Technical Solution Development (NM) - Advanced (Inactive), Accountability (NM) - Intermediate, Programming Languages (NM) - Advanced, Container Orchestration (NM) - Intermediate FIND YOUR FUTURE We're excited about the potential people bring to Northwestern Mutual. You can grow your career here while enjoying first-class perks, benefits, and our commitment to a culture of belonging. Flexible work schedules Concierge service Comprehensive benefits Employee resource groups PandoLogic. Category:Technology,
IHC Health Services, Inc. (dba Intermountain Health)
Salt Lake City, Utah
Job Title: Data Architect Senior - Clinical Degree Required: Masters degree or equivalent foreign education Academic Discipline(s): Computer Science, Information Systems, Bioinformatics, Statistics, or a closely related field Experience Required: 0 years of experience Job Description: Provide leadership in developing data marts, designing data models, implementing ETL processes, and ensuring data usability for clients. Lead the physical design and implementation of databases for complex projects, optimizing data presentation for reporting tools. Develop and maintain standards for data warehouse elements, such as architectures, models, tools, and databases ensuring it aligns with best practices. Provide troubleshooting support for data warehouses and address technical issues promptly. Design, implement, and operate data warehouse systems to balance optimization of data access and resource utilization to meet performance requirements. Ensure successful delivery of data models, pipelines, and warehouses overseeing end-to-end delivery of data solutions across cloud and on-premise environments. Perform complex system and data analysis, using SQL, PLSQL, Python, and other languages to develop solutions through advanced programming and analysis. Build robust processes to streamline data flow by developing data warehouse process models, including sourcing, loading, transformation, and extraction, to support data integration pipelines. Create and manage supporting documentation, including metadata, diagrams of entity relationships, business processes, and process flows, for governance and reference. Ensure proper integration of data with existing standards and business processes to support smooth operations, maintaining consistency across systems. Create plans, test files, and scripts for data warehouse testing, including unit and integration testing to ensure system readiness. Develop, document, and deliver complex ad-hoc queries, consulting with business users to determine needs, feasibility, and priorities. Develop and implement ETL processes and map data between source systems, data warehouses, and data marts, ensuring smooth data flow across them, while verifying the structure, accuracy, and quality of warehouse data. This is a hybrid position requiring in-person presence once per month. Position may telecommute from any state in the United States except California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Minimum Qualifications: Knowledge of Oracle or Microsoft SQL Server databases. Knowledge of Alteryx, Cognos, and Tableau. Knowledge of Architecture and Modeling Tools. Knowledge of Data Integration and Strategies. Knowledge of SQL. Knowledge of R and Python. Knowledge of Data Warehouse Concepts, Models, Cohorts, Metrics and KPIs. Knowledge of Informatica Intelligent Cloud Services and PowerCenter, and BMC Control-M. Knowledge Azure Databricks. Knowledge of EPIC Clarity and Caboodle. Knowledge of EPIC Cogito. Knowledge of EPIC Caboodle Development. Knowledge of EPIC Clinical Data Model. Upon hire, all applicants will be subject to drug testing/screening and background checks. Salary (Annual): $117,645.00 $127,645.00 Work Location: 4646 Lake Park Blvd., West Valley City, UT 84120. This is a hybrid position requiring in-person presence once per month. Position may telecommute from any state in the United States except California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Hours of Work: Usually 8 a.m. to 5 p.m., Monday through Friday Applicants interested in applying for this position should go to imh.wd108.myworkdayjobs. com/IntermountainCareers and search for the job title above or search for job number R164238 or email resume to Mary Hansen at Applicants who fail to provide a resume and pre-screening question responses will not be considered. This position is for permanent direct hire only; applications for contract labor will not be considered.
03/18/2026
Job Title: Data Architect Senior - Clinical Degree Required: Masters degree or equivalent foreign education Academic Discipline(s): Computer Science, Information Systems, Bioinformatics, Statistics, or a closely related field Experience Required: 0 years of experience Job Description: Provide leadership in developing data marts, designing data models, implementing ETL processes, and ensuring data usability for clients. Lead the physical design and implementation of databases for complex projects, optimizing data presentation for reporting tools. Develop and maintain standards for data warehouse elements, such as architectures, models, tools, and databases ensuring it aligns with best practices. Provide troubleshooting support for data warehouses and address technical issues promptly. Design, implement, and operate data warehouse systems to balance optimization of data access and resource utilization to meet performance requirements. Ensure successful delivery of data models, pipelines, and warehouses overseeing end-to-end delivery of data solutions across cloud and on-premise environments. Perform complex system and data analysis, using SQL, PLSQL, Python, and other languages to develop solutions through advanced programming and analysis. Build robust processes to streamline data flow by developing data warehouse process models, including sourcing, loading, transformation, and extraction, to support data integration pipelines. Create and manage supporting documentation, including metadata, diagrams of entity relationships, business processes, and process flows, for governance and reference. Ensure proper integration of data with existing standards and business processes to support smooth operations, maintaining consistency across systems. Create plans, test files, and scripts for data warehouse testing, including unit and integration testing to ensure system readiness. Develop, document, and deliver complex ad-hoc queries, consulting with business users to determine needs, feasibility, and priorities. Develop and implement ETL processes and map data between source systems, data warehouses, and data marts, ensuring smooth data flow across them, while verifying the structure, accuracy, and quality of warehouse data. This is a hybrid position requiring in-person presence once per month. Position may telecommute from any state in the United States except California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Minimum Qualifications: Knowledge of Oracle or Microsoft SQL Server databases. Knowledge of Alteryx, Cognos, and Tableau. Knowledge of Architecture and Modeling Tools. Knowledge of Data Integration and Strategies. Knowledge of SQL. Knowledge of R and Python. Knowledge of Data Warehouse Concepts, Models, Cohorts, Metrics and KPIs. Knowledge of Informatica Intelligent Cloud Services and PowerCenter, and BMC Control-M. Knowledge Azure Databricks. Knowledge of EPIC Clarity and Caboodle. Knowledge of EPIC Cogito. Knowledge of EPIC Caboodle Development. Knowledge of EPIC Clinical Data Model. Upon hire, all applicants will be subject to drug testing/screening and background checks. Salary (Annual): $117,645.00 $127,645.00 Work Location: 4646 Lake Park Blvd., West Valley City, UT 84120. This is a hybrid position requiring in-person presence once per month. Position may telecommute from any state in the United States except California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Hours of Work: Usually 8 a.m. to 5 p.m., Monday through Friday Applicants interested in applying for this position should go to imh.wd108.myworkdayjobs. com/IntermountainCareers and search for the job title above or search for job number R164238 or email resume to Mary Hansen at Applicants who fail to provide a resume and pre-screening question responses will not be considered. This position is for permanent direct hire only; applications for contract labor will not be considered.
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
03/18/2026
Full time
Senior Systems Engineer, Data Management Our field sales professionals rely on proactive technical support during the sales process - and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US. What you'll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: •Build and lead relationships for highly sophisticated customer accounts •Conduct customer needs analysis and anticipate requirements beyond existing solution's scope •Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities •Verify operability of sophisticated product and service configurations within the customer's environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Technical Skills Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). Analytics, BI, and data science Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. Can translate ambiguous business problems into clear data and analytics use cases. Storytelling & communication Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). Demo & POC excellence Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. Competitive positioning Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: Cloud data warehouse or lakehouse migrations Enterprise BI modernization/self-service analytics GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications Real-time or streaming analytics Advanced analytics / data science enablement Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse). Compensation Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - $265,100, which includes base salary and potential commissions. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here Job ID:R285979
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
03/17/2026
Full time
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Compensation: $125,000 - $165,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience Eligible for a discretionary bonus based on firm and individual performance Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
03/17/2026
Full time
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Compensation: $125,000 - $165,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience Eligible for a discretionary bonus based on firm and individual performance Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Compensation: $125,000 - $165,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience Eligible for a discretionary bonus based on firm and individual performance Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
03/17/2026
Full time
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Compensation: $125,000 - $165,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience Eligible for a discretionary bonus based on firm and individual performance Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Compensation: $125,000 - $165,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience Eligible for a discretionary bonus based on firm and individual performance Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
03/17/2026
Full time
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Compensation: $125,000 - $165,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience Eligible for a discretionary bonus based on firm and individual performance Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Compensation: $125,000 - $165,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience Eligible for a discretionary bonus based on firm and individual performance Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
03/17/2026
Full time
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Compensation: $125,000 - $165,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience Eligible for a discretionary bonus based on firm and individual performance Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
03/17/2026
Full time
It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU-accelerated computing, and modern API frameworks. The Opportunity: The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: Design, develop, fine-tune, and deploy generative AI models into scalable production environments Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise wide Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data-driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER
