{"id":2261433,"url":"https://alion.io/job/general-dynamics-information-technology-senior-data-engineer-secret-clearance-required","title":"Senior Data Engineer - Secret Clearance Required","company":{"id":4418,"name":"General Dynamics Information Technology","domain":"gdit.com","url":"https://alion.io/company/gdit","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":96,"open_postings":37,"ghost_share":0,"stale_share":0.378,"repost_share":0,"time_to_fill_p50_days":10,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sterling, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":153000,"max":207000,"currency":"USD","period":"year","gross":null,"usd_annual":207000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docling","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Linux","optional":false},{"name":"pgvector","optional":false},{"name":"Podman","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Red Hat","optional":false},{"name":"Rest API","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false},{"name":"Windows","optional":false},{"name":"Windows Server","optional":false},{"name":"Airflow","optional":true},{"name":"Apache HTTP Server","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Apache NiFi","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"LLM","optional":true},{"name":"Redis","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-24T08:05:52Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Type of Requisition:\nRegularClearance Level Must Currently Possess:\nSecretClearance Level Must Be Able to Obtain:\nSecretPublic Trust/Other Required:\nNoneJob Family:\nData Science and Data EngineeringJob Qualifications:\nSkills:\nArtificial Intelligence (AI), Data Solutions, Technical SolutionsCertifications:\nNoneExperience:\n10 + years of related experienceUS Citizenship Required:\nYes Job Description:\nOwn your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Engineer Sr Principal at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.\nThe ideal candidate will have strong experience with relational databases, data pipelines, ETL/ELT processes, Python development, and enterprise data integration. The candidate should also be comfortable working with containerized applications, Linux environments, and emerging AI technologies, including vector databases and Retrieval-Augmented Generation (RAG).\nThis individual will collaborate with software engineers, AI/ML engineers, cybersecurity professionals, database administrators, and enterprise architects to deliver scalable, secure, and reliable data solutions within highly controlled government environments.\nSECRET CLEARANCE REQUIRED\nKey Responsibilities\n1. Chatbot - AI Platform Data Engineering\nDesign, develop, and maintain the data infrastructure supporting our chatbot and related AI-powered applications.\nManage and optimize PostgreSQL databases, including pgvector extensions for vector similarity search.\nDevelop and maintain data ingestion pipelines for structured, semi-structured, and unstructured data.\nIntegrate document processing technologies such as Docling and Tesseract into automated data pipelines.\nSupport document metadata extraction, transformation, validation, indexing, and storage.\nCollaborate with AI/ML engineers to optimize data retrieval, embedding storage, and RAG workflows.\nDevelop Python-based services, scripts, and APIs to facilitate data movement between systems.\nSupport the migration of database services and supporting components into Podman containers.\nImprove database reliability, performance, observability, backup procedures, and recoverability.\nTroubleshoot data integration issues across application services, databases, and AI inference systems.\n2. Enterprise Data Integration & Data Fabric\nAssist in evaluating and designing a potential enterprise data fabric architecture.\nDevelop solutions for integrating data across disparate applications, databases, and enterprise systems.\nDesign reusable data pipelines and integration patterns that support multiple applications and business domains.\nSupport the development of enterprise data catalogs, metadata management, data lineage, and data discovery capabilities.\nEvaluate approaches for data virtualization, data federation, and distributed data access.\nDefine and implement data quality, consistency, validation, and governance controls.\nCollaborate with enterprise architects and stakeholders to identify integration requirements and technical solutions.\nHelp establish common data models, integration standards, and reusable data services.\nEvaluate open-source and commercially available data integration technologies for use in secure government environments.\n3. Data Migration & Modernization\nPlan and execute data migrations between legacy systems, modern databases, and enterprise applications.\nAssess source systems, database schemas, data quality, dependencies, and migration requirements.\nDevelop ETL/ELT pipelines using Python, SQL, and appropriate data integration frameworks.\nPerform data extraction, transformation, cleansing, mapping, reconciliation, and validation.\nDesign repeatable migration processes that minimize operational risk and data loss.\nSupport migration testing, performance optimization, rollback planning, and post-migration verification.\nDevelop scripts and automation to streamline recurring data migration activities.\nProduce technical documentation, migration plans, data mapping specifications, and operational procedures.\n4. Infrastructure, Automation & Security\nDevelop and support containerized data services using Podman and container orchestration tools.\nSupport applications and databases running on Red Hat Enterprise Linux and Windows Server.\nAutomate database deployment, configuration, monitoring, and maintenance activities.\nImplement secure data access controls, encryption, audit logging, and data handling practices.\nSupport deployment of software and data services in air-gapped and classified environments.\nCollaborate with cybersecurity and infrastructure teams to ensure compliance with applicable federal security requirements.\nParticipate in vulnerability remediation, software evaluation, change management, and accreditation support activities.\nImplement monitoring and operational logging solutions using tools such as Splunk.\nRequired Qualifications\nBachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field, or equivalent practical experience.\n7+ years of experience in data engineering, database development, data integration, or related software engineering disciplines.\nStrong proficiency in Python for data processing, scripting, automation, and service integration.\nAdvanced SQL skills, including query optimization, database schema design, and performance tuning.\nExperience administering, developing against, or optimizing PostgreSQL or comparable enterprise relational database systems.\nDemonstrated experience designing and implementing ETL/ELT pipelines.\nExperience with enterprise data migrations, including data mapping, transformation, validation, and reconciliation.\nFamiliarity with REST APIs, JSON, structured and semi-structured data formats.\nExperience with Linux administration, shell scripting, and deployment automation.\nUnderstanding of data modeling, relational databases, data integrity, and data lifecycle management.\nExperience with Git, automated testing, and modern software development practices.\nAbility to design, document, and troubleshoot complex data workflows.\nStrong communication skills and ability to collaborate across multidisciplinary engineering teams.\nPreferred Qualifications\nExperience supporting AI/ML platforms, LLM applications, or Retrieval-Augmented Generation solutions.\nFamiliarity with vector databases, PostgreSQL pgvector, embeddings, and semantic search.\nExperience with document ingestion and content extraction technologies such as Docling, Apache Tika, or Tesseract.\nExperience with container technologies such as Podman or Docker.\nFamiliarity with Redis and PgBouncer.\nExperience with enterprise data fabric, data mesh, or data virtualization architectures.\nExperience with Apache Airflow, Apache NiFi, or similar data pipeline orchestration frameworks.\nExperience with Apache Kafka or other event-driven data integration technologies.\nFamiliarity with data catalogs, metadata management, data lineage, and data governance frameworks.\nExperience with cloud-based data platforms or hybrid data architectures, including AWS or Azure.\nExperience modernizing legacy databases and enterprise data platforms.\nFamiliarity with secure, disconnected, air-gapped, or classified IT environments.\nKnowledge of federal cybersecurity standards, RMF processes, and Authority to Operate (ATO) requirements.\nExperience with Splunk, automated testing, and CI/CD practices.\nThe likely salary range for this position is $153,000 - $207,000. 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.Scheduled Weekly Hours:\n40Travel Required:\nLess than 10%Telecommuting Options:\nOnsiteWork Location:\nUSA VA SterlingAdditional Work Locations:\nTotal Rewards at GDIT:\nOur benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.Our Identity Verification Process:\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.About Our Work:\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.Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc.\nEqual Opportunity Employer / Individuals with Disabilities / Protected Veterans","description_format":"text","description_chars":10098,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Government","Military","Professional Services","Fraud Detection"],"lifecycle":[{"event":"open","at":"2026-10-14T02:00:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 21 · green card filings: 4","filings_12m":21,"filings_prev_12m":30,"green_card_filings_12m":4,"median_offered_wage_usd":154900,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":6}],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.736,"p_room":0.45,"age_days":15,"expected_fill_days":10,"reasons":["conf:2","velocity","win:tail","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":207000,"is_top_pay":true},"html_url":"https://alion.io/job/general-dynamics-information-technology-senior-data-engineer-secret-clearance-required","json_url":"https://alion.io/job/general-dynamics-information-technology-senior-data-engineer-secret-clearance-required.json","meta":{"generated_at":"2026-10-24T23:52:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":35038,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4418},"rest":"https://alion.io/mcp/rest/get_company?id=4418"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeneral-dynamics-information-technology-senior-data-engineer-secret-clearance-required"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgeneral-dynamics-information-technology-senior-data-engineer-secret-clearance-required"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgeneral-dynamics-information-technology-senior-data-engineer-secret-clearance-required"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/general-dynamics-information-technology-senior-data-engineer-secret-clearance-required\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeneral-dynamics-information-technology-senior-data-engineer-secret-clearance-required"}]}