{"id":3949003,"url":"https://alion.io/job/leidos-senior-data-engineer-2","title":"Senior Data Engineer","company":{"id":7791,"name":"Leidos","domain":"leidos.com","url":"https://alion.io/company/leidos","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":317,"ghost_share":0.003,"stale_share":0.89,"repost_share":0.009,"time_to_fill_p50_days":28,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"ET","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"structured","locations":["Washington, United States","United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":107900,"max":195050,"currency":"USD","period":"year","gross":null,"usd_annual":195050},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Collibra","optional":true},{"name":"Databricks","optional":true},{"name":"Delta Lake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T00:56:16Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"**This position is contingent upon contract award.**\nLeidos is seeking a Senior Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program.\nRemote work within CONUS is subject to VA security and system-access requirements. Must support Eastern Time collaboration and applicable production coverage. Occasional after-hours or weekend support may be required for critical outages or planned maintenance.\n\nThis role focuses on engineering reusable ingestion, transformation, quality, and automation capabilities that improve the scalability, reliability, and efficiency of the Summit Data Platform across customer workgroups.\n Primary Responsibilities\nDesign and implement reusable data ingestion, transformation, orchestration, and validation frameworks aligned with the Summit product roadmap and approved enterprise architecture.\nLead engineering of shared pipeline templates, data-quality gates, lineage instrumentation, and automated deployment or recovery patterns that reduce manual effort across workgroups.\nOptimize cloud data processing, partitioning, performance, reliability, and cost; establish practical technical measures and tuning recommendations.\nProvide technical guidance on complex data integration, source parity, semantic modeling, and federated query capabilities; collaborate with architecture and governance leads.\nIntegrate automated testing, observability, CI/CD, infrastructure-as-code where appropriate, and secure access controls into production data engineering workflows.\nTroubleshoot complex cross-platform failures and data-quality issues; coordinate root-cause analysis, remediation, rollback, and operational readiness.\nMaintain reusable design documentation, standards implementation guidance, runbooks, and technical decision records.\nMentor engineers and coordinate with customer-requested engineering teams to promote adoption and reuse of common capabilities.\nRequired Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline and 10+ years of relevant experience, including demonstrated expertise designing and implementing complex data engineering solutions.\nHands-on experience developing and troubleshooting production data ingestion, ETL/ELT, transformation, and validation pipelines using SQL and Python.\nExperience with cloud-based data platforms and services in Microsoft Azure, AWS, or Google Cloud; understanding of storage, orchestration, and secure data access.\nExperience with data modeling, source-to-target reconciliation, data quality testing, and pipeline monitoring or incident troubleshooting.\nAbility to document technical designs, data flows, dependencies, and operational procedures and collaborate with engineers, analysts, and data owners.\nDemonstrated experience designing reusable production data engineering frameworks or shared services and independently resolving complex integration and performance issues.\nExperience improving data engineering delivery through automation, testing, CI/CD, or standardized deployment patterns.\nAbility to obtain and maintain the required VA Public Trust suitability determination (Tier 2/Moderate Risk).\nPreferred Qualifications\nHighly Preferred: Direct, hands-on experience supporting the VA Summit Data Platform is highly preferred; experience with other VA enterprise data and analytics environments is also valuable.\nExperience with production-scale Spark/Databricks or Delta Lake processing and platform-wide performance or cost optimization.\nExperience mentoring engineers or coordinating shared engineering capabilities across multiple delivery teams.\nHands-on Microsoft Azure data engineering experience, including Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Spark, or comparable services.\nFamiliarity with Delta Lake/lakehouse architectures, data catalogs and lineage, and governance tools such as Collibra, Immuta, or Starburst.\nExperience supporting federal IT systems and complying with security, privacy, and data-access requirements.\nExperience with Agile delivery and relevant cloud/data engineering certifications. such as Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer Professional, AWS Certified Data Engineer - Associate, or equivalent.\nIf you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.\nOriginal Posting:\nNovember 6, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.\nPay Range:\nPay Range $107,900.00 - $195,050.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.","description_format":"text","description_chars":5459,"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":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","C4ISR","Defense Manufacturing","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-11-09T00:56:16Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 50 · green card filings: 24","filings_12m":50,"filings_prev_12m":58,"green_card_filings_12m":24,"median_offered_wage_usd":124257,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+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":3}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":3,"expected_fill_days":28,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-11-09T02:16:03Z"},"pay":{"stated_usd_annual":195050,"is_top_pay":true},"html_url":"https://alion.io/job/leidos-senior-data-engineer-2","json_url":"https://alion.io/job/leidos-senior-data-engineer-2.json","meta":{"generated_at":"2026-11-09T02:16:03Z","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":4710,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":7791},"rest":"https://alion.io/mcp/rest/get_company?id=7791"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fleidos-senior-data-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fleidos-senior-data-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fleidos-senior-data-engineer-2"},{"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/leidos-senior-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fleidos-senior-data-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3949003}},{"tool":"search_jobs","arguments":{"company":"leidos.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3949003},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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