{"schemaVersion":"jobsearcher.job.v1","id":"b76967344ce5cbfa07caea4e","url":"https://jobsearcher.com/jobs/b76967344ce5cbfa07caea4e","canonicalUrl":"https://jobsearcher.com/jobs/b76967344ce5cbfa07caea4e","title":"Data Engineer","description":"Clearance Level\nTop Secret\nCategory\nData Science and Data Engineering\nLocations\nFort Bragg, North Carolina\nJoint Base Lewis-McChord, Washington\nFort Bragg, North Carolina\nCoronado, California\n(Onsite Workplace)\n\nKey Skills For Success\n\nAnalytics\n\nData Access\n\nData Analysis\n\nData Transformation\n\nEnterprise Data\n\nREQ#: RQ229926\nPublic Trust: None\nRequisition Type: Regular\nYour Impact\n\nOwn your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.\n\nJob Description\n\nWe are GDIT. The people supporting and securing some of the most complex government, defense,\n\nand intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important.\n\nGDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being rusted to deliver your best every day.\n\nWe think. We act. We deliver. There is no challenge we can’t turn into opportunity. And our work depends on a Data Engineer joining our team to support customer activities.\n\nThe Data Engineer builds and sustains the data foundation of the POTFF Enterprise Data and Analytics function. The Data Engineer acquires, integrates, and prepares data from the Government-designated Human Performance System of Record (e.g., HPDMS) and other Government-approved sources; designs, implements, and maintains scalable, reproducible data pipelines and curated, analysis-ready datasets on the Government-furnished technology stack; and enforces the data quality, lineage, and governance controls that make downstream analysis defensible. The Data Engineer provides data engineering expertise for the enterprise data science team and works in direct support of the Data Scientists, Senior Data Scientists, and Data Science Advisor.\n\nHOW A DATA ENGINEER WILL MAKE AN IMPACT:\n\nDesign, implement, and maintain scalable extract-transform-load and extract-load-transform (ETL/ELT) pipelines on the Government-furnished technology stack (e.g., SQL Server, Databricks, and Apache Spark (PySpark)) for batch and scheduled processing and data transformation.\nFuse disparate structured, semi-structured, and unstructured data sources from across the POTFF enterprise, including the Government-designated Human Performance System of Record (e.g., HPDMS), assessment and wearable data, and other Government-approved systems, into curated, analysis-ready datasets.\nImplement rigorous data quality controls, validation rules, lineage documentation, and performance tuning to ensure reliable, reproducible, and secure pipelines; monitor scheduled and orchestrated workloads and resolve failures.\nDevelop and maintain data models, data dictionaries, metadata, and transformation logic under version control, and document data sources, assumptions, and processing steps to ensure transparency and operational continuity.\nPrepare and curate text and other unstructured data to support Natural Language Processing (NLP) and Large Language Model (LLM) use cases executed by the data science team within Government-approved tools.\nSupport the integration of curated data products into Government-furnished visualization and low-code tools and the deployment of analytic products into operational workflows, including basic machine-learning operations (MLOps) practices where directed by the Government.\nApply Government data governance, security, and privacy requirements, including DoW Impact Level 5 (IL5), HIPAA, and Privacy Act protocols, to all data handling, and implement data access controls as directed by the Government.\nCollaborate with Government personnel, clinicians, program staff, and the data science team to identify new data sources, improve the quality of data entered into Government systems, and translate analytical requirements into data requirements.\nProvide data engineering expertise and technical guidance to Data Scientists and Senior Data Scientists.\n\nWHAT YOU’LL NEED TO SUCCEED:\n\nEDUCATION:\n\nBachelor’s degree in a quantitative or computing discipline, including but not limited to computer science, computer engineering, software engineering, information systems, data science, data engineering, mathematics, statistics, or geospatial science or geoinformatics, with documented coursework or professional application in programming, databases, and quantitative analysis. A candidate without the degree qualifies with the experience stated under Required Minimum Experience/Skills.\nMinimum of three (3) years of professional experience in data engineering, database development, or data pipeline development. Without the bachelor’s degree, a minimum of five (5) years of such experience.\nDemonstrated proficiency in SQL and in Python or a comparable language used for data engineering, demonstrated through professional work experience.\nDemonstrated experience building and operating data pipelines, including ETL/ELT design, data modeling, data quality checks, reproducible pipeline design, and version control (Git).\nAbility to communicate clearly with analysts and non-technical stakeholders and to document technical work for continuity.\n\nPREFFERED EXPERIENCE:\n\nExperience with Palantir Foundry (including ontology development) or a comparable data-integration platform.\nExperience with distributed processing frameworks such as Databricks and Apache Spark (PySpark).\nFamiliarity with Power BI semantic modeling and with the Microsoft Power Platform (Power Apps and Power Automate).\nwith deploying analytics or machine-learning models into applications and with MLOps concepts.\nExperience working in a DoW-authorized cloud environment.\nExperience with human performance, health, clinical, or biomedical data.\n\nLOCATION: Various CONUS SITES\n\nCLEARANCE: Secret or Top-Secret Clearance, or the ability to obtain clearance.\n\nThis is a contingent posting, expected to start in 2026.\n\nGDIT IS YOUR PLACE:\n\n401K with company match\nComprehensive health and wellness packages\nInternal mobility team dedicated to helping you own your career\nProfessional growth opportunities including paid education and certifications\nCutting-edge technology you can learn from\nRest and recharge with paid vacation and holidays\n\n#MilitaryHealthGDITJobs\n\nWork Requirements\nYears of Experience\n\n3 + years of related experience\n\n* may vary based on technical training, certification(s), or degree\n\nCertification\n\nTravel Required\n\nLess than 10%\n\nCitizenship\n\nU.S. Citizenship Required\n\nSalary and Benefit Information\n\nThe likely salary range for this position is $83,927 - $113,549. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\n\nOur Identity Verification Process\n\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\n\nAbout Our Work\n\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.\n\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\n\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","company":"General Dynamics Information Technology","rawCompany":"generaldynamicsinformationtechnology","city":"Tacoma","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-10-21T12:34:13.302Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"928110","title":"National Security","slug":"national-security"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Clearance Level\nTop Secret\nCategory\nData Science and Data Engineering\nLocations\nFort Bragg, North Carolina\nJoint Base Lewis-McChord, Washington\nFort Bragg, North Carolina\nCoronado, California\n(Onsite Workplace)\n\nKey Skills For Success\n\nAnalytics\n\nData Access\n\nData Analysis\n\nData Transformation\n\nEnterprise Data\n\nREQ#: RQ229926\nPublic Trust: None\nRequisition Type: Regular\nYour Impact\n\nOwn your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.\n\nJob Description\n\nWe are GDIT. The people supporting and securing some of the most complex government, defense,\n\nand intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that’s important.\n\nGDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being rusted to deliver your best every day.\n\nWe think. We act. We deliver. There is no challenge we can’t turn into opportunity. And our work depends on a Data Engineer joining our team to support customer activities.\n\nThe Data Engineer builds and sustains the data foundation of the POTFF Enterprise Data and Analytics function. The Data Engineer acquires, integrates, and prepares data from the Government-designated Human Performance System of Record (e.g., HPDMS) and other Government-approved sources; designs, implements, and maintains scalable, reproducible data pipelines and curated, analysis-ready datasets on the Government-furnished technology stack; and enforces the data quality, lineage, and governance controls that make downstream analysis defensible. The Data Engineer provides data engineering expertise for the enterprise data science team and works in direct support of the Data Scientists, Senior Data Scientists, and Data Science Advisor.\n\nHOW A DATA ENGINEER WILL MAKE AN IMPACT:\n\nDesign, implement, and maintain scalable extract-transform-load and extract-load-transform (ETL/ELT) pipelines on the Government-furnished technology stack (e.g., SQL Server, Databricks, and Apache Spark (PySpark)) for batch and scheduled processing and data transformation.\nFuse disparate structured, semi-structured, and unstructured data sources from across the POTFF enterprise, including the Government-designated Human Performance System of Record (e.g., HPDMS), assessment and wearable data, and other Government-approved systems, into curated, analysis-ready datasets.\nImplement rigorous data quality controls, validation rules, lineage documentation, and performance tuning to ensure reliable, reproducible, and secure pipelines; monitor scheduled and orchestrated workloads and resolve failures.\nDevelop and maintain data models, data dictionaries, metadata, and transformation logic under version control, and document data sources, assumptions, and processing steps to ensure transparency and operational continuity.\nPrepare and curate text and other unstructured data to support Natural Language Processing (NLP) and Large Language Model (LLM) use cases executed by the data science team within Government-approved tools.\nSupport the integration of curated data products into Government-furnished visualization and low-code tools and the deployment of analytic products into operational workflows, including basic machine-learning operations (MLOps) practices where directed by the Government.\nApply Government data governance, security, and privacy requirements, including DoW Impact Level 5 (IL5), HIPAA, and Privacy Act protocols, to all data handling, and implement data access controls as directed by the Government.\nCollaborate with Government personnel, clinicians, program staff, and the data science team to identify new data sources, improve the quality of data entered into Government systems, and translate analytical requirements into data requirements.\nProvide data engineering expertise and technical guidance to Data Scientists and Senior Data Scientists.\n\nWHAT YOU’LL NEED TO SUCCEED:\n\nEDUCATION:\n\nBachelor’s degree in a quantitative or computing discipline, including but not limited to computer science, computer engineering, software engineering, information systems, data science, data engineering, mathematics, statistics, or geospatial science or geoinformatics, with documented coursework or professional application in programming, databases, and quantitative analysis. A candidate without the degree qualifies with the experience stated under Required Minimum Experience/Skills.\nMinimum of three (3) years of professional experience in data engineering, database development, or data pipeline development. Without the bachelor’s degree, a minimum of five (5) years of such experience.\nDemonstrated proficiency in SQL and in Python or a comparable language used for data engineering, demonstrated through professional work experience.\nDemonstrated experience building and operating data pipelines, including ETL/ELT design, data modeling, data quality checks, reproducible pipeline design, and version control (Git).\nAbility to communicate clearly with analysts and non-technical stakeholders and to document technical work for continuity.\n\nPREFFERED EXPERIENCE:\n\nExperience with Palantir Foundry (including ontology development) or a comparable data-integration platform.\nExperience with distributed processing frameworks such as Databricks and Apache Spark (PySpark).\nFamiliarity with Power BI semantic modeling and with the Microsoft Power Platform (Power Apps and Power Automate).\nwith deploying analytics or machine-learning models into applications and with MLOps concepts.\nExperience working in a DoW-authorized cloud environment.\nExperience with human performance, health, clinical, or biomedical data.\n\nLOCATION: Various CONUS SITES\n\nCLEARANCE: Secret or Top-Secret Clearance, or the ability to obtain clearance.\n\nThis is a contingent posting, expected to start in 2026.\n\nGDIT IS YOUR PLACE:\n\n401K with company match\nComprehensive health and wellness packages\nInternal mobility team dedicated to helping you own your career\nProfessional growth opportunities including paid education and certifications\nCutting-edge technology you can learn from\nRest and recharge with paid vacation and holidays\n\n#MilitaryHealthGDITJobs\n\nWork Requirements\nYears of Experience\n\n3 + years of related experience\n\n* may vary based on technical training, certification(s), or degree\n\nCertification\n\nTravel Required\n\nLess than 10%\n\nCitizenship\n\nU.S. Citizenship Required\n\nSalary and Benefit Information\n\nThe likely salary range for this position is $83,927 - $113,549. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.\n\nOur Identity Verification Process\n\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.\n\nAbout Our Work\n\nWe are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.\n\nJoin our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.\n\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","datePosted":"2026-10-21T12:34:13.302Z","dateModified":"2026-10-21T12:34:13.302Z","hiringOrganization":{"@type":"Organization","name":"General Dynamics Information Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tacoma","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b76967344ce5cbfa07caea4e"},"url":"https://jobsearcher.com/jobs/b76967344ce5cbfa07caea4e"}}