{"id":3949005,"url":"https://alion.io/job/leidos-data-engineer-6","title":"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":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":131300,"max":237350,"currency":"USD","period":"year","gross":null,"usd_annual":237350},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Git","optional":true},{"name":"Oracle","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","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":"At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. \n\nThe Homeland Sector at Leidos currently has an opening for a Data Engineer with a strong background in data analytics to support an exciting DHS software development program. The Data Engineer is responsible for designing, developing, implementing, and maintaining the data architecture, pipelines, integrations, and data structures required to transform raw operational data into reliable, accessible, and analysis-ready information. The Data Engineer works across application, database, analytics, and business teams to ensure that data is accurately collected, integrated, transformed, governed, secured, and made available for reporting, business intelligence (BI), advanced analytics, and decision support.\nExpected Duties and Responsibilities\nData Architecture and Engineering\nDesign logical and physical data models appropriate for analytical workloads.\nDevelop data structures that integrate information from multiple applications, databases, files, APIs, logs, and external data sources.\nEvaluate existing data architectures and recommend improvements to reliability, scalability, performance, maintainability, and accessibility.\nSupport the design and implementation of data warehouses, data marts, data lakes, lakehouses, and other analytical data repositories as appropriate.\nData Integration and Pipelines\nDesign, develop, test, deploy, and maintain ETL/ELT processes and automated data pipelines.\nExtract and integrate data from relational databases, applications, APIs, flat files, logs, and other structured and semi-structured sources.\nDevelop repeatable processes for transforming raw transactional data into standardized, analysis-ready datasets.\nImplement scheduling, orchestration, monitoring, error handling, and recovery capabilities for data pipelines.\nDevelop interfaces and data feeds supporting downstream reporting, dashboards, analytics platforms, and external systems.\nData Transformation and Quality\nClean, normalize, deduplicate, validate, and transform data.\nInvestigate data discrepancies and work with application developers, database administrators, analysts, and business users to determine root causes.\nImplement controls that prevent data-quality problems from propagating into downstream reports and analytical products.\nBusiness Intelligence and Analytics Support\nDevelop curated datasets and data models optimized for BI, reporting, visualization, and analytical workloads.\nWork with BI analysts and business stakeholders to translate business questions into data requirements.\nSupport development of common definitions and calculation methodologies for enterprise metrics and key performance indicators (KPIs).\nSupport ad hoc analytical requests when new data sources or transformations are required.\nAssist analysts in understanding data lineage, relationships, limitations, and appropriate use.\nData Governance and Documentation\nDocument data sources, transformations, interfaces, business rules, dependencies, lineage, and data definitions.\nMaintain technical documentation for data pipelines, models, interfaces, and analytical repositories.\nSupport development and maintenance of data dictionaries and metadata repositories.\nDatabase and Performance Engineering\nDevelop and optimize complex SQL queries, stored procedures, views, and data transformations.\nAnalyze and improve performance of analytical queries and data-processing workloads.\nWork with Database Administrators (DBAs) to optimize database structures supporting analytical requirements.\nRecommend indexing, partitioning, aggregation, caching, or other techniques where appropriate.\nEnsure analytical workloads do not adversely affect production transactional systems.\nSecurity and Compliance\nImplement data-engineering solutions consistent with organizational cybersecurity and privacy requirements.\nApply appropriate access controls to sensitive data.\nSupport data classification, encryption, auditing, logging, retention, and protection requirements.\nWork with cybersecurity personnel to ensure data movement and storage comply with applicable security requirements.\nSupport protection of sensitive information, including PII and other controlled or restricted data.\nSoftware Engineering and DevSecOps\nDevelop maintainable data-engineering code using established software development practices.\nMaintain data pipeline code and configuration under version control.\nParticipate in peer reviews, testing, configuration management, and change-control processes.\nDevelop automated tests for data transformations and pipelines.\nSupport CI/CD and automated deployment practices for data-engineering components.\nTroubleshoot production data-processing failures and perform root-cause analysis.\nBasic Qualifications\nMust be a U.S. Citizen\nMust be capable of receiving a Public Trust clearance level.\nMust have verifiable accredited education.\nEducation Requirements\nBachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related technical discipline.\nExperience Requirements\n3-5+ years of professional experience in data engineering, database development, software engineering, BI engineering, or a related technical discipline.\nDemonstrated experience designing and developing ETL/ELT processes and data pipelines.\nStrong experience with relational databases and SQL.\nExperience integrating data from multiple heterogeneous sources.\nExperience developing analytical data models, data warehouses, or similar repositories.\nExperience troubleshooting data-quality and data-integration issues.\nPreferred Qualifications\nExperience with technologies such as Azure, AWS, Snowflake, Databricks, Spark, Airflow, dbt, Kafka, Power BI, Tableau, or similar platforms.\nRequired Technical Skills\nThe candidate should possess strong proficiency in several of the following areas:\nAdvanced SQL and relational database concepts\nOracle, SQL Server, PostgreSQL, or comparable RDBMS technologies\nPython or another data-processing/programming language\nETL/ELT development\nData modeling and dimensional modeling\nData warehouse architecture\nREST APIs and system integration\nData validation and quality management\nGit or comparable version-control systems\nAutomated testing and CI/CD concepts\nStructured and semi-structured data processing\nKnowledge and Competencies\nThe successful candidate should demonstrate:\nStrong analytical and problem-solving skills.\nAbility to understand complex relationships among applications, databases, interfaces, and business processes.\nAbility to translate business information requirements into technical data solutions.\nUnderstanding of transactional versus analytical data architectures.\nUnderstanding of data lineage, governance, quality, security, and lifecycle management.\nAbility to communicate technical concepts to both technical and nontechnical audiences.\nAbility to distinguish between a data problem, application problem, business-process problem, and analytical problem.\nStrong documentation and configuration-management discipline.\n►Please be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you.\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:\nOctober 2, 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 $131,300.00 - $237,350.00The 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":8739,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"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":"2026-11-09T02:12:16Z"},"pay":{"stated_usd_annual":237350,"is_top_pay":true},"html_url":"https://alion.io/job/leidos-data-engineer-6","json_url":"https://alion.io/job/leidos-data-engineer-6.json","meta":{"generated_at":"2026-11-09T02:12:16Z","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":4574,"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-data-engineer-6"},{"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-data-engineer-6"},{"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-data-engineer-6"},{"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-data-engineer-6\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fleidos-data-engineer-6"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3949005}},{"tool":"search_jobs","arguments":{"company":"leidos.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3949005},"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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