{"id":2228307,"url":"https://alion.io/job/saic-data-engineer","title":"Data Engineer","company":{"id":58788,"name":"SAIC","domain":"saic.com","url":"https://alion.io/company/saic","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":53,"ghost_share":0,"stale_share":0.981,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":118000,"max_usd":226000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"Bicep","optional":true},{"name":"CI/CD","optional":true},{"name":"Data Vault","optional":true},{"name":"Databricks","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Git","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true},{"name":"SAS","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-09T17:40:30Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T16:44:07Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"SAIC is seeking a hands-on Data Engineer with strong Azure experience to build and maintain reliable, scalable data pipelines and datasets that power analytics and operational insights. You will own ingestion, transformation, and data product delivery across Azure services, with Azure Data Factory (ADF), Blob Storage, and Azure SQL as core technologies. Experience with Azure Synapse Analytics, Microsoft Fabric, and Power BI is a plus.\nYou will design, develop, and operate data solutions using multiple data modeling approaches (e.g., star/snowflake, Data Vault) and data formats (e.g., JSON, Parquet, CSV, Avro). You will collaborate closely with analytics, product, and operations teams to deliver trusted, secure, and performant data products in a modern Azure-based data platform.\nKey Responsibilities:\nDesign, develop, schedule, and monitor batch and near real-time data pipelines in Azure Data Factory (ADF) for data ingestion, transformation, and load (ELT/ETL).\nImplement and manage data storage strategies in Azure Blob Storage (access tiers, lifecycle policies, partitioning, folder design).\nDesign, manage, and optimize datasets in Azure SQL (Database/Managed Instance) including schema design, indexing, and performance tuning.\nCreate and maintain dimensional models (star/snowflake), and apply 3NF, normalization/denormalization, and Data Vault 2.0 patterns where appropriate.\nImplement data quality and governance capabilities including validation rules, profiling, lineage, documentation, and standards for schema evolution and data contracts.\nOptimize pipeline runtimes, SQL queries, and storage I/O; implement alerting, retry logic, and cost controls to ensure performance and reliability.\nCollaborate with analytics, product, and operations teams to understand requirements and deliver robust, well-documented datasets and data products.\nApply security and compliance best practices, including RBAC, data masking, encryption at rest/in transit, and key management, in line with company policies.\nContribute to best practices, templates, and reusable components to improve consistency and speed of delivery across the data platform.\n Required:\nBS and 5 years experience (4 years experience in lieu of degree)\nAbility to obtain and maintain a public trust requiring U.S. Citizenship. \nHands-on experience with Azure Data Factory (ADF): pipelines, data flows, linked services, triggers, parameterization.\nStrong experience with Azure Blob Storage: containers, access tiers, lifecycle management, SAS/Managed Identities.\nStrong experience with Azure SQL (Database/Managed Instance): schema design, performance tuning, indexing, query optimization.\nPractical experience with star and snowflake schemas, 3NF, and Data Vault concepts.\nUnderstanding of Kimball vs. Inmon data warehousing approaches.\nProficiency with JSON, Parquet, CSV, Avro.\nExperience handling schema evolution and versioning for these formats.\nStrong SQL skills for complex querying and transformations.\nScripting experience in Python (preferred) or Scala for data transformations, utilities, and automation.\nExperience with Git-based workflows.\nExperience integrating data pipelines with Azure DevOps (Repos, Pipelines) or equivalent CI/CD tools.\nProven experience with monitoring, logging, alerting, and troubleshooting data pipelines in production environments.\nDesired\nExperience with Azure Synapse Analytics: serverless and/or dedicated SQL pools, data warehouse patterns, and Spark notebooks for large-scale ELT/ETL.\nFamiliarity with Microsoft Fabric: Lakehouse, OneLake, notebooks, data pipelines, and workspace governance.\nExperience building Power BI semantic models (datasets), incremental refresh, relationships, calculation groups, and DAX for data product delivery.\nExperience with Event Hubs, Azure Functions, or Databricks/Spark Structured Streaming for real-time or near real-time data ingestion.\nExperience using Bicep or Terraform to provision and manage Azure resources; familiarity with ARM templates.\nExperience with Microsoft Purview or similar tools for data cataloging, lineage, and metadata management.","description_format":"text","description_chars":4111,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Government","Systems Integrators","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-10-10T17:26:38Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.596,"p_room":1,"age_days":2,"expected_fill_days":12,"reasons":["conf:2","stale_co","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/saic-data-engineer","json_url":"https://alion.io/job/saic-data-engineer.json","meta":{"generated_at":"2026-10-12T19:17:21Z","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":31257,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":58788},"rest":"https://alion.io/mcp/rest/get_company?id=58788"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsaic-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%2Fsaic-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%2Fsaic-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/saic-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsaic-data-engineer"}]}