133 jobs found

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Job Description Job Description About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests. Requisition #: 1700 Job Title: Data Operations Technical Lead Location: MacDill AFB, FL Clearance Level: Top Secret / SCI, Must Have Clearance to Start Job Description The contractor shall identify a Data Operations Technical Lead by name who shall deliver the foundational data infrastructure necessary to transform SOF Enterprise data into a critical strategic asset. This individual will ensure comprehensive data and engineering management, data quality and resource management providing scalable systems and reliable infrastructure essential for integrating advanced analytics and effective Artificial Intelligence solutions, significantly enhancing data-driving decision-making across all warfighting functions. Job Duties: Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems. Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes. Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting. Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms. Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access. Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure. Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment. Education and Background Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (masters degree preferred)., and 8+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required. Years of Experience 8+ years Required Skills Have active active TS/SCI clearance Minimum of eight years' experience managing digital projects in support of SOF Enteprise customers Preferred Skills Three years experience managing SOF agile development processes Three years experience managing SOF Data Operations processes and procedures Three years experience managing SOF digital support request requirements, translating them from customer requests to assigning customer and digital support teams Working Conditions General Office Environment Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Overview General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Responsibilities Bachelor's degree in Engineering, or a related Science or Mathematics field, plus a minimum of 5 years of relevant work experience; or Master's degree, plus a minimum of 3 years of relevant experience. CLEARANCE REQUIREMENTS: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required. Qualifications Job Description This position's primary role will be representing the SE&IT by supporting MDA/DE-SEA (Enterprise Analysis & Technical Innovation) and its role within the MDA Joint Analysis Team (JAT). In the test analyst role, the candidate will perform Missile Defense System (MDS) performance analysis of test data generated primarily by the MDA Ground Test (HWIL) program. The candidate may also support analysis of MDA Flight Test events, Real World Event data, and Golden Dome for America (GDA) tests. The role includes developing approaches and tools to support executing System-level and Element-level performance analysis on the complex MDS, and producing analysis results and inputs to the official SEA test report products. In addition, analysts often present their finding during mission data reviews. The engineer will be responsible for working with associated Systems Engineering (SE) teams, Test Organizations, Warfighters and Element Program focals to ensure MDS tests meet technical intent, assess system capabilities, and characterize behaviors. In this role, the candidate will develop, utilize and present analytical products with the intent of assessing strategic and/or theater/regional element system level performance of the MDS in ground test and flight test events. SEA performs analysis on all elements of the MDS, with a focus on System-Level behaviors. Individual must have knowledge of analytical approaches and demonstrated analytical skills and discipline. Proficiency in using analytical tools that assess the system level performance of the MDS kill chain including sensor acquisition, tracking, and discrimination; battle manager engagement planning, warfighter interaction, and engagement coordination with other MDS systems; and interceptor acquisition, tracking, and discrimination. Must be able to work independently as well as part of a geographically distributed team. SEA also values demonstrated capabilities in data scientist positions and the ability to develop tools to support analytical tasks and a desire to learn about MDS elements and the ability to apply an understanding of element behavior to a System-Level analytical perspective. The candidate will analyze performance of the MDS kill chain. Required Qualifications Degree and experience performing systems engineering test analysis for the Missile Defense System. Experience documenting and presenting analysis findings. Secret clearance is minimum requirement, with higher clearance preferable. Desired Qualifications Strong systems engineering or MDS analysis background and demonstrated collaboration and presentation skills are desired. System level interface design and specification development experience is desired. Additionally, knowledge of the Missile Defense System (MDS), a working knowledge of SQL, PostgreSQL, Python, Jupiter Notebooks, Tableau or similar analytical tools, system analysis, and system level testing are desired. What you bring to the table: A Bachelor's degree in Engineering, a related specialized area or field is required (or equivalent experience) plus a minimum of 5 years of relevant experience; or Master's degree plus a minimum of 3 years of relevant experience Proficient knowledge and experience with object-oriented programming, system processes and scripting languages Openly proposes ideas that enhance productivity and efficiency, solicits input, and optimizes solutions What sets you apart: Team player who thrives in collaborative environments and revels in team success, meeting and exceeding personal and team commitments Ability to grasp and apply new information quickly and handle increasing responsibilities with growing complexity Commitment to ongoing professional development Identifies opportunities to apply AI for continuous improvement and innovation Our Commitment to You: An exciting career path with opportunities for continuous learning and development. Research oriented work, alongside award winning teams developing practical solutions for our nation's security Flexible schedules with every other Friday off work, if desired (9/80 schedule) Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more See more at -work-for-us/benefits Workplace Options: This position is fully on-site. While on-site, you will be a part of the Boeing JetPlex facility.

Job Description Job Description Test Engineer/Analyst, Mid-Level Overview SimTech, Inc., recognized as one of the 2026 Best Places for Working Parents , is seeking a Test Engineer/Analyst, Mid-Level , to join our dynamic and diverse team in Huntsville, AL. SimTech offers a market leading compensation package with excellent benefits, work/life balance, outstanding retirement plan, career advancement and much more. This role will work with real-time hardware-in-the-loop (HWIL) systems, tactical software & hardware, and digital representations of complex missile defense systems. Responsibilities Common tasks for this position include analysis tool design and development, and complex analysis on missile defense system and/or algorithm performance. The selected candidate will develop and maintain test cases to support software integration and system integration. The selected candidate may support a broad range of projects including performance analysis, modeling & simulation (M&S), post-flight reconstruction, and integration and risk reduction efforts. Apply practical engineering knowledge across a broad range of established system engineering principles, concepts, and methods. Analyze and document results of test cases in software and hardware test report documentation. Develop system requirements to support system functionality. Other duties as assigned. Minimum Qualifications & Education Requirements and Desired Skillsets Bachelor's or Master's Degree in Engineering, or a related technical discipline from an accredited institution or equivalent experience. 5+ years of relevant working experience. Direct operational or test experience with Integrated Battle Command System (IBCS) is required. Proficient in data manipulation and analysis, data visualization, signal and data processing, electromagnetics, and/or system engineering using MATLAB or similar tools. Must have the ability to recognize and analyze problems, conduct research, summarize results, and make appropriate recommendations. Ability to develop and/or contribute to reports and briefings that explain complex system behaviors effectively to a broad range of audiences. Up to 10% travel may be required. Ability to multi-task and work effectively across multiple efforts. Experience developing and/or improving complex analysis tools using MATLAB. Experience in real-time analysis using Linux/Windows Operating Systems. Experience with Terminal High Altitude Area Defense (THAAD). Experience in C, C++, Linux/Unix operating systems, and Microsoft Office. Excellent communication skills (verbal and written). U.S. Citizenship with an active Secret security clearance and the ability to maintain the designated clearance level. Physical Description Employees in these positions will function primarily at customer sites, field locations, and test ranges, with periodic work in office and laboratory settings. They will use standard office equipment, computers, hand tools, and electronic test equipment to set up, operate, maintain, and repair fielded systems. They will collaborate with customers, operators, maintainers, and internal engineering teams, produce service and status reports, and communicate information effectively. These positions require frequent travel, potentially including extended deployments to remote or austere locations, and may involve working outdoors for full days in varying weather conditions. The use of personal protective equipment (PPE) such as safety glasses, hearing protection, and protective footwear may be required. Employees must be able to lift up to 50 pounds and may be expected to work varying shifts and hours to support fielded system availability. About SimTech, Inc. SimTech's mission is to be the most reliable and cost-effective provider of Signature Models, Simulations, Hardware, Software, Cyber solutions, and Test & Evaluation services. Established in 1983 by a team of experienced scientists and engineers, SimTech has a long history of delivering high-technology defense-oriented solutions. The company has been recognized as a "Best Place to Work" in 2020 and 2021, and as a "Best Place for Working Parents" in by the Huntsville/Madison County Chamber of Commerce. SimTech offers an industry-leading comprehensive compensation and benefits package. Be a part of over 43+ years of excellence-join our team today! To learn more about our exceptional team and employee benefits, contact SimTech HR or visit for more information. Equal Employment Opportunity and Affirmative Action Employer SimTech, Inc. is an Equal Opportunity/Affirmative Action Employer. SimTech, Inc. is a committed EOE/Vet/Disabled employer. Simulation Technologies, Inc. (SimTech) is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following email address, and/or phone number ) to contact us about your interest in employment with SimTech. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. SimTech participates in E-Verify. Job Posted by ApplicantPro

Job Description Job Description About the Role We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands-on and own the domain end-to-end, alongside a small group of senior engineers, data scientists and product partners. Owns the unified data platform and data lake that powers detection and response across 360 Fraud Protection. Every detection model and downstream AI capability depends on this data foundation, which makes it one of the highest-leverage engineering roles on the team. Stronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust. Key Responsibilities Own the design, build and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability. Build low-latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model-ready data to the layers above. Make adding a new data source a routine task rather than a project, so our view of risk keeps widening over time. Establish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of. Build data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval. Own deployment, CI/CD and operational reliability of the platform on Kubernetes. Partner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection. Required Qualifications Extensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes. Deep, hands-on expertise with Apache Spark, Apache Flink and modern big-data systems. Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes. Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end. A track record of owning data infrastructure end-to-end with limited supervision. Preferred Qualifications Experience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval. A cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats and malware. Familiarity with transaction data and transaction fraud signals. Compensation Base salary range: $180 - $270 Bonus / commission: 15% Travel Minimal travel expected. This is an on-site role based in New York City, with 3-4 days per week in the office. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job Description Job Description Analytica is seeking a Systems Architect - Data Science & Advanced Analytics to provide strategic and technical leadership in designing, implementing, and modernizing enterprise data and advanced analytics solutions. This role serves as the lead architect for data science initiatives, responsible for developing scalable analytics environments, machine learning solutions, and enterprise data architectures with a strong emphasis on Databricks, Apache Spark, and modern cloud-based data platforms. The ideal candidate will work closely with data scientists, data engineers, business stakeholders, and technical leadership to develop innovative analytics solutions that transform complex data into actionable insights. This individual will provide technical vision, establish best practices, and lead the adoption of advanced analytics and machine learning capabilities across the organization. Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match. Key Responsibilities Data Science Leadership Serve as the Lead Architect for enterprise Data Science and Advanced Analytics initiatives. Develop and drive the organization's vision and strategy for Big Data, Artificial Intelligence, and Machine Learning solutions. Lead the design and implementation of scalable data science environments that support experimentation, model development, validation, and deployment. Provide technical leadership and mentorship to Data Scientists, Machine Learning Engineers, and Analytics teams. Identify emerging technologies and analytical methodologies that improve organizational capabilities and mission outcomes. Advanced Analytics & Machine Learning Architect end-to-end machine learning and advanced analytics solutions using modern data platforms and distributed computing frameworks. Design scalable workflows for data preparation, feature engineering, model training, evaluation, and production deployment. Collaborate with cross-functional teams to translate business and mission objectives into advanced analytical solutions. Guide the development of predictive models, statistical analyses, optimization models, and AI-driven decision support tools. Establish best practices for model governance, reproducibility, documentation, and performance monitoring. Data Architecture & Big Data Solutions Design enterprise data architectures that enable large-scale analytics and machine learning workloads. Lead the development of data pipelines and analytical frameworks utilizing Databricks Lakehouse architecture, Delta Lake, and Apache Spark. Ensure data solutions are scalable, reliable, high-performing, and aligned with enterprise architecture standards. Architect integrated data ecosystems that support structured, semi-structured, and unstructured data sources. Lead modernization initiatives that enhance data accessibility, analytical capabilities, and operational efficiency. Strategic Collaboration Partner with executive leadership and business stakeholders to define data and analytics roadmaps. Translate complex technical concepts into business-focused recommendations and strategic initiatives. Lead architecture reviews and provide expert guidance on enterprise analytics solutions. Foster collaboration between Data Science, Data Engineering, and business teams to deliver high-impact analytical products. Required Qualifications Experience Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related technical discipline (Master's preferred). 10+ years of progressive experience designing and implementing advanced analytics, machine learning, or Big Data solutions. Demonstrated experience serving as a technical lead or subject matter expert for enterprise data science initiatives. Experience leading technical teams and architecting large-scale analytics platforms. Experience architecting enterprise-scale data science and advanced analytics platforms. Experience developing AI/ML solutions supporting mission-critical or large-scale business operations. Knowledge of modern data governance and responsible AI principles. Experience with experimentation frameworks, model operationalization, and analytical product development. Familiarity with Agile product development and collaborative data science workflows. Required Technical Skills Data Science & Machine Learning Machine Learning model development and lifecycle management Statistical analysis and predictive modeling Artificial Intelligence and Advanced Analytics methodologies Feature engineering and model evaluation techniques Data exploration and analytical solution design Big Data & Data Engineering Databricks Lakehouse Platform Apache Spark Delta Lake Distributed data processing frameworks ETL/ELT and modern data pipeline architectures Data modeling and enterprise data architecture Analytics & Visualization Advanced analytics solution design Business Intelligence and data visualization concepts Dashboard and reporting architecture Data storytelling and insight generation Leadership Technical strategy development Enterprise architecture governance Cross-functional team leadership Stakeholder engagement and executive communication Mentoring and coaching technical teams Certifications: Candidates should possess one or more of the following certifications: Databricks Databricks Certified Professional Data Scientist Databricks Certified Professional Data Engineer Databricks Certified Machine Learning Associate Databricks Certified Developer for Apache Spark Big Data & Analytics Apache Spark or Big Data certifications Tableau Certified Professional (Desktop or Server) Other industry-recognized data science, analytics, or visualization certifications About Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. Application Review: AI tools may help identify skills and experiences relevant to the role. Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Powered by JazzHR p4l6BTwW2r

Job Description Job Description Since 1958, DARPA has made pivotal investments in breakthrough technologies for national security. As the world changes dramatically - and even the pace of change itself increases - the agency seeks to engage the best minds and best ideas across specialties, communities, and disciplines to solve the greatest national security challenges on the horizon. DARPA brings together scientists, engineers, and tinkerers across the innovation ecosystem to push the bounds of technological possibility. The work we do is challenging by nature, but working with DARPA doesn't have to be. To make it happen, DARPA's program managers need highly skilled support contractors, broadly referred to as SETAs (Scientific Engineering and Technical Assistance) within DARPA. Often spanning programs, portfolios, and even offices in their impact, the SETAs help program managers chart and navigate the path toward groundbreaking discoveries. For the fortunate few who become part of the DARPA legacy, a time bound journey with the organization represents a unique and singular opportunity to alter the future. At DARPA, every day is a chance to make history. A chance to explore, discover, and invent. A chance to collaborate with pioneers in science and engineering contributing to an enduring mission. The Data Architect must have 8 years of demonstrated experience in data architecture, data engineering, or enterprise systems design. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related field.Experience working in defense, intelligence, or other high-security environments. Strong knowledge of database systems (SQL/NoSQL), data warehousing, and distributed data platforms. Familiarity with cloud platforms (AWS GovCloud, Azure Government, etc.). Knowledge of data governance, data modeling, and architecture frameworks (e.g., TOGAF, DoDAF). Ability to build and maintain DevSecOps CI/CD build pipelines. Active Top Secret clearance is required. Responsibilities will include, but are not limited to the following: Design and implement enterprise-level data architecture frameworks across defense systems and platforms Develop data models, standards, and governance policies to ensure consistency, quality, and integrity Integrate data from multiple classified and unclassified sources to support operational readiness and analysis Collaborate with cybersecurity teams to ensure compliance with security protocols and data protection regulations Support advanced analytics, AI/ML initiatives, and real-time data processing for research and strategic applications Establish metadata management, data lineage, and master data management practices Optimize data storage, retrieval, and processing for high-performance environments Lead data architecture reviews and provide technical guidance to engineering and analytics teams Ensure compliance with federal standards (e.g., DoD data strategy, security frameworks, interoperability requirements) Experience with big data technologies (Hadoop, Spark, Karka) Preferred Qualifications Background in AI/ML data pipelines and analytics infrastructure Familiarity with geospatial, signals, or intelligence data systems Certification in cloud architecture or data management (e.g., AWS Certified Solutions Architect, DAMA-CDMP) Experience with high-performance computing (HPC) Experience with Infrastructure as-Code practices Proficiency in SPARQL query language Strong familiarity with implementation techniques used in broad array of package managers (npm, pip, etc.) Familiarity with applying library science principles such as data catalog curation, reference interview, and Functional Requirements for Biblographic Records (FRBR) Strong operational knowledge of the architecture (not practice) of the World Wide Web and its semiological distinction between resources and their representations. Experience in applying Basic Formal Ontology (BFO) concepts within and among existing semi-mutable infrastructure to achieve quantified value add Active TS/SCI clearance.

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Key Responsibilities Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives. Implement and maintain data governance, security, data quality, and integrity standards across data environments. Monitor and optimize database and data platform performance, scalability, reliability, and availability. Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or a related field. 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design. Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. Experience developing and automating large-scale data environments. Preferred Qualifications Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments. Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices. Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Lead Data Architect Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required SalaryRange: $160-225k DOE Travel: % Project Description This position supports Revolutional's federal customer as part of an application transformation and modernization initiative. This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization. The core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations. Position Description As a Lead Data Architect at Revolutional, you will define and drive enterprise data architecture strategy, governance, and implementation across a large-scale federal modernization program. You will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will work across multiple systems, teams, vendors, and contractors to ensure data is structured, governed, secured, integrated, and operationalized effectively across the enterprise. This role requires someone who can balance long-term data strategy with operational delivery realities, while establishing architecture standards that support scalability, compliance, resiliency, and real-time data operations. Responsibilities Provide technical leadership across enterprise data architecture efforts within a large-scale modernization program Design and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platforms Define and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approaches Oversee data management, integration, quality, lineage, storage, retention, and governance processes across systems Establish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirements Design and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilities Support real-time and streaming architectures using event-driven processing and distributed messaging systems Design and oversee APIs, system interconnections, interface management processes, and Interface Control Documents (ICDs) Support AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMF Collaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutions Ensure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standards Lead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platforms Implement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvements Support operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M) Establish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teams Mentor architects and engineering teams while promoting consistency, governance, and technical excellence Technical Environment Cloud-native data platforms (AWS, Azure) Data lakes, lakehouse architectures, warehouses, marts, and distributed analytics ecosystems Big data and streaming technologies (Spark, Kafka, Databricks, Snowflake, Airflow) APIs, event-driven architectures, and distributed integration platforms ETL/ELT pipelines and large-scale data processing frameworks MLOps, AI/ML-enabled analytics, and model deployment environments Infrastructure-as-Code and automation tools (Terraform) DevSecOps pipelines and CI/CD automation frameworks Data governance, metadata, lineage, and catalog platforms Agile and scaled Agile (SAFe) delivery environments Delivery and collaboration platforms (Git, Jira, Confluence) Required Skills and Experience 10-14+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiatives Proven experience designing enterprise data architectures for large-scale, distributed systems environments Experience operating within Agile and SAFe/scaled Agile delivery frameworks Strong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platforms Experience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architectures Experience implementing metadata management, lineage, catalogs, and governance frameworks Experience with system-of-systems integration, APIs, interface management, and distributed architectures Experience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governance Experience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and Snowflake Experience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworks Experience with cloud-native data services across AWS and Azure environments Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO support Experience with FinOps, cloud cost optimization, and performance tuning of enterprise data platforms Experience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systems Core Strengths Strategic thinker capable of translating mission and business requirements into scalable enterprise data architectures Strong ownership mindset with accountability for architecture, governance, and operational outcomes Ability to influence technical direction across engineering, analytics, architecture, and operational teams Strong decision-making skills balancing modernization goals, operational realities, and compliance requirements Effective communication across technical, operational, and executive stakeholders Ability to coordinate delivery and governance across complex, multi-team, multi-contractor environments Nice to Have (Differentiators) Certifications in cloud data platforms, big data technologies, or enterprise architecture frameworks Experience supporting statistical and similarly large-scale federal modernization programs Experience with large-scale real-time analytics or event-streaming environments Experience implementing enterprise AI governance or advanced analytics frameworks Experience supporting DataOps or platform engineering initiatives Work Authorization/Clearance: Must be a U.S. Citizen and able to obtain a Federal Government Public Trust clearance. _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment . click apply for full job details

Job Description Job Description We are seeking a Principal Data Engineer to lead the architecture, design, and delivery of modern data platforms and analytics solutions for clients. This is a hands-on technical leadership role for someone who can move comfortably between executive-level client conversations, solution architecture, engineering delivery, and mentoring high-performing data teams. The ideal candidate combines deep data-engineering expertise with strong consulting instincts: they can translate business objectives into scalable technical solutions, communicate complex concepts through clear presentations, and guide teams from discovery through implementation and operationalization. Key Responsibilities Lead the end-to-end architecture, design, and delivery of enterprise data engineering, data platform, and analytics solutions for client engagements. Serve as a trusted technical advisor to client stakeholders, including technology leaders, data leaders, architects, and business partners. Facilitate discovery sessions, requirements workshops, technical assessments, architecture reviews, and solution-design discussions. Translate business goals, data challenges, and operating-model requirements into practical data strategies, roadmaps, reference architectures, and implementation plans. Define scalable, secure, reliable, and cost-effective architectures for data ingestion, transformation, storage, governance, orchestration, analytics, and data consumption. Remain hands-on in engineering work, including designing data pipelines, reviewing code, building proof of concepts, resolving complex technical issues, and establishing engineering patterns. Architect and implement batch, real-time, streaming, and event-driven data solutions as appropriate for client needs. Design modern cloud data platforms using technologies such as Snowflake, Databricks, Microsoft Fabric, Azure Data Factory, AWS Glue, Amazon Redshift, BigQuery, or equivalent platforms. Lead the development of robust ETL/ELT pipelines, data models, data APIs, semantic layers, and data products. Establish data engineering standards for code quality, testing, CI/CD, observability, metadata management, data lineage, documentation, security, and production support. Drive adoption of DataOps practices, infrastructure as code, automated testing, deployment pipelines, monitoring, and incident-management processes. Partner with data architects, data scientists, analysts, application architects, security teams, and business stakeholders to ensure solutions are aligned to enterprise architecture and business outcomes. Present technical recommendations, architecture options, delivery status, risks, and strategic roadmaps to both technical and executive audiences. Lead client-facing demonstrations, workshops, steering-committee updates, and technical presentations. Mentor senior, mid-level, and junior data engineers; provide technical coaching, career guidance, design feedback, and hands-on support. Lead and influence cross-functional delivery teams, including onshore/offshore engineers, architects, analysts, and client technical resources. Participate in project estimation, staffing, delivery planning, risk management, solution scoping, and proposal development. Support pre-sales and business-development activities, including solutioning, client presentations, technical discovery, RFP responses, estimates, and statement-of-work development. Stay current on emerging data, cloud, AI, governance, and analytics technologies; evaluate where they provide meaningful business value for clients. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field; equivalent professional experience may be considered. 10+ years of progressive experience in data engineering, data warehousing, data integration, data architecture, or related technical disciplines. 3+ years of experience in a technical leadership, lead engineer, solution architect, staff engineer, principal engineer, or consulting leadership capacity. Demonstrated experience architecting and delivering enterprise-scale data platforms and data integration solutions. Strong hands-on expertise in SQL and at least one modern programming language, preferably Python, Scala, Java, or C#. Strong experience with ETL/ELT design, data pipeline development, data transformation frameworks, orchestration, and workflow automation. Experience with one or more cloud providers: Microsoft Azure, AWS, or Google Cloud Platform. Experience with modern cloud data and analytics platforms such as Databricks, Snowflake, Microsoft Fabric, Synapse Analytics, BigQuery, Redshift, or similar technologies. Experience with orchestration and pipeline technologies such as Apache Airflow, Azure Data Factory, AWS Step Functions, dbt, Dagster, Prefect, or equivalent tools. Knowledge of distributed data-processing technologies such as Apache Spark, Kafka, Flink, Hadoop ecosystems, or comparable platforms. Experience designing both batch and near-real-time or streaming data solutions. Strong understanding of dimensional modeling, data vault, normalized data models, lakehouse architectures, data lake architectures, and data warehouse design principles. Experience implementing data quality, data validation, monitoring, lineage, metadata, governance, and security controls. Working knowledge of DevOps and DataOps practices, including Git-based source control, CI/CD, automated testing, deployment automation, and infrastructure as code. Strong understanding of cloud security principles, identity and access management, encryption, secrets management, and role-based access controls. Proven ability to lead architecture discussions and make well-reasoned technical tradeoffs involving performance, scalability, reliability, maintainability, security, and cost. Excellent verbal, written, and presentation skills, with the ability to explain technical concepts clearly to business stakeholders and executive audiences. Experience in a consulting, professional services, systems integrator, or client-facing delivery environment. Preferred Qualifications Experience designing data platforms that support AI, machine learning, generative AI, retrieval-augmented generation, feature stores, vector databases, or advanced analytics workloads. Certifications in AWS, Azure, Google Cloud, Databricks, Snowflake, Microsoft Fabric, or other relevant data technologies. Experience with master data management, data cataloging, data governance, privacy, regulatory compliance, or data stewardship programs. Experience with tools such as Collibra, Alation, Microsoft Purview, Unity Catalog, Informatica, Monte Carlo, Great Expectations, or similar governance and observability platforms. Experience with Salesforce, SAP, ERP, CRM, finance, supply-chain, healthcare, retail, manufacturing, or other enterprise operational data domains. Familiarity with BI and semantic-layer technologies such as Power BI, Tableau, Looker, ThoughtSpot, or similar platforms. Experience with containerization and cloud-native technologies such as Docker, Kubernetes, Terraform, CloudFormation, Bicep, or Pulumi. Prior experience contributing to proposals, estimates, statements of work, or technical sales pursuits. Experience managing or leading distributed onshore/offshore delivery teams. Powered by JazzHR zr49e0PRzQ

Job Description Job Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Lead Data Architect Location: Suitland, MD (Hybrid) Terms: Full-time Clearance/Work Authorization: U.S. Citizenship with the ability to obtain and maintain a Public Trust is required SalaryRange: $160-225k DOE Travel: % Project Description This position supports Revolutional's federal customer as part of an application transformation and modernization initiative. This program is driving a large-scale transformation of systems into a data-centric, cloud-native ecosystem capable of supporting high-volume, near real-time data processing and advanced analytics. The work includes modernization of legacy applications, development of new cloud-native solutions, and implementation of DevSecOps and scaled Agile practices across the organization. The core challenge: orchestrating complex, multi-contractor delivery while transforming both technology and operating models without disrupting mission-critical operations. Position Description As a Lead Data Architect at Revolutional, you will define and drive enterprise data architecture strategy, governance, and implementation across a large-scale federal modernization program. You will lead architecture efforts spanning data platforms, pipelines, governance frameworks, analytics ecosystems, AI/ML integration, and large-scale distributed processing environments. You will work across multiple systems, teams, vendors, and contractors to ensure data is structured, governed, secured, integrated, and operationalized effectively across the enterprise. This role requires someone who can balance long-term data strategy with operational delivery realities, while establishing architecture standards that support scalability, compliance, resiliency, and real-time data operations. Responsibilities Provide technical leadership across enterprise data architecture efforts within a large-scale modernization program Design and govern scalable data ecosystems including data lakes, lakehouse architectures, data warehouses, marts, and distributed processing platforms Define and implement enterprise data models, schemas, standards, retention strategies, and lifecycle management approaches Oversee data management, integration, quality, lineage, storage, retention, and governance processes across systems Establish metadata management, data catalogs, data dictionaries, and lineage frameworks supporting governance and traceability requirements Design and manage large-scale data ingestion, ETL/ELT pipelines, transformation workflows, analytics, and dissemination capabilities Support real-time and streaming architectures using event-driven processing and distributed messaging systems Design and oversee APIs, system interconnections, interface management processes, and Interface Control Documents (ICDs) Support AI/ML-enabled architectures including ML pipelines, MLOps processes, model deployment, and AI governance frameworks such as the NIST AI RMF Collaborate with application architects, engineers, data scientists, SMEs, and external vendors to deliver secure, scalable, and high-performing data solutions Ensure compliance with federal data management, privacy, and security requirements including NIST, FedRAMP, Zero Trust, ATO processes, encryption, access control, and data sharing standards Lead architecture efforts supporting system-of-systems (SoS) integrations across multiple contractors, vendors, and interdependent platforms Implement FinOps and cloud optimization strategies including cost monitoring, tagging, performance tuning, and operational efficiency improvements Support operational management of enterprise data platforms including monitoring, maintenance, performance optimization, and lifecycle management (O&M) Establish and enforce architecture governance, standards, and best practices across Agile and SAFe delivery teams Mentor architects and engineering teams while promoting consistency, governance, and technical excellence Technical Environment Cloud-native data platforms (AWS, Azure) Data lakes, lakehouse architectures, warehouses, marts, and distributed analytics ecosystems Big data and streaming technologies (Spark, Kafka, Databricks, Snowflake, Airflow) APIs, event-driven architectures, and distributed integration platforms ETL/ELT pipelines and large-scale data processing frameworks MLOps, AI/ML-enabled analytics, and model deployment environments Infrastructure-as-Code and automation tools (Terraform) DevSecOps pipelines and CI/CD automation frameworks Data governance, metadata, lineage, and catalog platforms Agile and scaled Agile (SAFe) delivery environments Delivery and collaboration platforms (Git, Jira, Confluence) Required Skills and Experience 10-14+ years of experience in data architecture, enterprise data engineering, or large-scale modernization initiatives Proven experience designing enterprise data architectures for large-scale, distributed systems environments Experience operating within Agile and SAFe/scaled Agile delivery frameworks Strong experience designing enterprise data ecosystems including data lakes, warehouses, marts, and distributed data platforms Experience with large-scale data ingestion, ETL/ELT pipelines, analytics, dissemination, and real-time processing architectures Experience implementing metadata management, lineage, catalogs, and governance frameworks Experience with system-of-systems integration, APIs, interface management, and distributed architectures Experience supporting AI/ML-enabled environments including MLOps, ML pipelines, model deployment, and AI governance Experience with open-source and modern data stack technologies including Spark, Kafka, Airflow, Databricks, and Snowflake Experience implementing data governance, data quality, data classification, tagging, privacy, and enterprise sharing frameworks Experience with cloud-native data services across AWS and Azure environments Experience implementing DevSecOps practices, CI/CD pipelines, and infrastructure automation Strong understanding of federal security and compliance frameworks including NIST, FedRAMP, Zero Trust, encryption, access controls, and ATO support Experience with FinOps, cloud cost optimization, and performance tuning of enterprise data platforms Experience supporting operational monitoring, maintenance, and lifecycle management of enterprise data systems Core Strengths Strategic thinker capable of translating mission and business requirements into scalable enterprise data architectures Strong ownership mindset with accountability for architecture, governance, and operational outcomes Ability to influence technical direction across engineering, analytics, architecture, and operational teams Strong decision-making skills balancing modernization goals, operational realities, and compliance requirements Effective communication across technical, operational, and executive stakeholders Ability to coordinate delivery and governance across complex, multi-team, multi-contractor environments Nice to Have (Differentiators) Certifications in cloud data platforms, big data technologies, or enterprise architecture frameworks Experience supporting statistical and similarly large-scale federal modernization programs Experience with large-scale real-time analytics or event-streaming environments Experience implementing enterprise AI governance or advanced analytics frameworks Experience supporting DataOps or platform engineering initiatives Work Authorization/Clearance: Must be a U.S. Citizen and able to obtain a Federal Government Public Trust clearance. _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment . click apply for full job details

AI Engineer 4 (Vision model (VLM) customization experience) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Family: Data Science Consulting Travel Required: None Clearance Required: Active Top Secret SCI with Polygraph What You Will Do : Our Data and Analytics consultants help clients maximize the value of their data. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding for business intelligence (BI), to predictive analytics, machine learning, and artificial intelligence. They help clients define their information strategy, architecture, and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to enable business insights, reduce cost and complexity, increase trust and integrity, and improve operational effectiveness. The successful candidate will bring expertise in developing, building, and maintaining data assets and managing a team. This is a high visibility role and the candidate will be expected to speak confidently and intelligently about a variety of data products, methodologies, industry trends and challenges. This role will be involved in managing and maintaining client relationships as well as proactively participate in business development discussions. The candidate should demonstrate the flexibility to pivot and respond quickly to a dynamic and evolving company culture and broader energy transition landscape. Duties will include: Coordinating and leading internal team actions to meet project and client objectives. Consulting with the client to determine analytics required, technical solutions and methods to ensure a high confidence model for client decision making. Interfacing with Client Subject Matter Experts to design, develop, validate and deploy capabilities that enable client objectives. What You Will Need : An ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a FULL SCOPE (FS/FSP) polygraph. Bachelor's degree. THREE (3) or more years of experience in Data Science, Data Analytics, and/or Data Visualization. Experience cleaning, manipulating, and pre-processing data using Python, SQL, R, and/or Tableau Prep Builder. Experience developing reports and dashboards for business intelligence, utilizing D ata Visualization tools such as Tableau. What Would Be Nice to Have : M.S./M.A. in Data Science/Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or similar quantitative/computational discipline. Tableau Desktop Certification: Certified Professional, Certified Associate, Specialist. Tableau Server Certification: Certified Professional, Certified Associate. Proficiency querying data in SQL. Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python or R. Experience with MS Forms and Power Automate. Ability to support clients in identifying and addressing needs, building relationships, and driving solutions forward and experience leading small teams. Excellent communication skills, both verbal and written. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

AI Engineer 4 (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (MLX) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).