{"id":2668320,"url":"https://alion.io/job/leidos-senior-data-engineer","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":81,"open_postings":131,"ghost_share":0,"stale_share":0.74,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-16T05:45:00Z"}},"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":["Gaithersburg, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":131300,"max":237350,"currency":"USD","period":"year","gross":null,"usd_annual":237350},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Aurora","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"Flink","optional":false},{"name":"Git","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false},{"name":"Amazon ECS","optional":true},{"name":"AWS","optional":true},{"name":"AWS Fargate","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-10-15T00:00:00Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T10:59:08Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Join Leidos and help shape the future of geospatial intelligence! We are seeking an experienced and innovative Senior Systems Engineer to support the Maru Program with our Intelligence Community customer. If you’re passionate about solving complex technical challenges, thrive in a fast-paced Agile environment, and enjoy collaborating with high-performing teams to deliver mission-critical capabilities, this is your opportunity to make a direct impact on national security.\nWhat You'll Do\nThe Senior Data Engineer will lead the design and implementation of a scalable, cloud-native data architecture supporting large-scale operational and analytical workloads. This role will provide technical leadership for the development of hybridanalytical query capability, integrating relational databases, object storage, lakehouse technologies, and distributed query engines.\nThe ideal candidate has deep hands-on experience designing modern data platforms and can make architecture decisions around data storage, ingestion, modeling, partitioning, cataloging, governance, and query performance.\nPlease note Gaithersburg, MD is the program’s primary work location.\n\nClearance Level Required:\nActive Top Secret/SCI with the ability to successfully pass a Polygraph examination.\nPrimary Responsibilities:\nLead the architecture and implementation of a hybrid analytical query platform supporting large-scale operational and analytical data.\nDesign and implement modern data lakehouse architectures using object storage, relational databases, and distributed analytical technologies.\nDevelop scalable batch and streaming data pipelines for ingestion, transformation, enrichment, and delivery of data.\nDesign data models, partitioning strategies, indexing approaches, catalogs, and query architectures optimized for large datasets.\nIntegrate PostgreSQL/Aurora transactional data with analytical and object-storage platforms.\nDesign and optimize distributed query capabilities using technologies such as Trino/Presto or equivalent.\nDevelop solutions using Amazon S3, Apache Iceberg, Redshift, and other modern cloud data services.\nSupport data governance, metadata management, lineage, access controls, and security requirements.\nDesign and deploy containerized data services within cloud-native environments.\nProvide technical leadership, architecture guidance, design reviews, and mentoring engineers to implementing the data platform.\nTroubleshoot complex data, database, query-performance, infrastructure, and integration issues.\nRequired Qualifications:\nUS citizenship is required per contract.\n12+ years of relevant software, data engineering, or data architecture experience, with demonstrated progression into senior technical or architecture responsibilities.\nExpert-level experience designing and implementing large-scale data architectures, lakehouses, or analytical data platforms.\nStrong hands-on experience with SQL and Python.\nStrong experience with PostgreSQL and/or Amazon Aurora PostgreSQL.\nExperience with Amazon S3 and object-storage-based data architectures.\nHands-on experience with modern lakehouse technologies such as Apache Iceberg, Databricks/Delta Lake, Snowflake, Redshift, or equivalent.\nExperience designing hybrid architecture spanning relational, columnar, object-storage, and distributed analytical systems.\nExperience with distributed query engines such as Trino/Presto or equivalent technologies.\nExperience building batch and/or streaming data pipelines using technologies such as Apache Kafka, Spark, Flink, Airflow, Dagster, dbt, or equivalent.\nStrong understanding of data modeling, partitioning, indexing, cataloging, schema evolution, and query optimization.\nExperience with Docker/containerized services and modern cloud-native architectures.\nExperience with Infrastructure as Code and Git-based CI/CD.\nStrong understanding of data security, access controls, governance, and protecting sensitive data.\nPreferred Qualifications:\nExperience with AWS-managed data services, particularly S3, Aurora PostgreSQL, Redshift, ECS/Fargate, Lambda, and related services.\nExperience with Kubernetes and container orchestration.\nExperience with data catalogs and metadata platforms such as OpenMetadata, AWS Glue Data Catalog, or equivalent.\nExperience working with geospatial, telemetry, operational, or other high-volume datasets.\nExperience designing platforms supporting both interactive queries and large-scale analytical workloads.\nExperience supporting production data platforms in classified, DoD, Intelligence Community, or other high-security environments.\nExperience providing technical directions to multidisciplinary engineering teams.\nKey Technologies\nCritical: SQL, Python, PostgreSQL/Aurora PostgreSQL, Amazon S3, Apache Iceberg/lakehouse architecture, distributed analytical querying, Trino/Presto, data modeling, query optimization\nStrongly Desired: Redshift, Kafka, Spark, Airflow/Dagster/dbt, Docker, Kubernetes, AWS, Infrastructure as Code, Git-based CI/CD\nNice to Have: OpenMetadata/Glue Data Catalog, Flink, Databricks/Delta Lake, Snowflake, geospatial data experience\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 1, 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":6189,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"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":"2026-10-16T03:24:50Z"}],"visa":[{"country":"US","licensed_sponsor":true,"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":"2026-10-15T11:24:14+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":3}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":27,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":237350,"is_top_pay":true},"html_url":"https://alion.io/job/leidos-senior-data-engineer","json_url":"https://alion.io/job/leidos-senior-data-engineer.json","meta":{"generated_at":"2026-10-16T11:01:01Z","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":9680,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":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"},{"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%2Fleidos-senior-data-engineer"},{"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%2Fleidos-senior-data-engineer"},{"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\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fleidos-senior-data-engineer"}]}