{"id":3145960,"url":"https://alion.io/job/spatial-front-data-engineer","title":"Data Engineer","company":{"id":4414873,"name":"Spatial Front","domain":"spatialfront.com","url":"https://alion.io/company/spatial-front","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Paylocity","truth_index":{"grade":"B","score":75,"open_postings":25,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":130000,"currency":"USD","period":"year","gross":null,"usd_annual":130000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Oracle","optional":false},{"name":"Oracle ERP","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"DataStage","optional":true},{"name":"Informatica","optional":true},{"name":"Oracle Data Integrator","optional":true},{"name":"SSIS","optional":true},{"name":"Talend","optional":true}],"status":"live","first_seen_at":"2026-09-17T12:10:43Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-01T14:45:28Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"Description\nSpatial Front, Inc. (SFI) is seeking a Data Engineer to support our growing modernization team. SFI was recently awarded the 2025 USA Today National Top Places to Work award and the 2025 Washington Post Top Workplaces. The ideal candidate will perform hands-on data engineering to design, modernize, optimize, and support enterprise Extract, Transform, and Load (ETL) processes and analytical data warehouse structures supporting PeopleSoft HCM and related enterprise systems.\nThis role is focused on the movement, transformation, quality, and organization of enterprise data for reporting and analytics. The candidate will analyze existing ETL processes, design improved data-loading approaches, develop and maintain transformation logic, and support dimensional data warehouse structures including star schemas, facts, dimensions, and data marts. The candidate will work closely with BI developers, DBAs, application teams, functional analysts, and infrastructure personnel to deliver reliable, scalable, and maintainable data pipelines for Federal Government customers.\nLocation\nCrystal City, VA - On-Site/Hybrid\nResponsibilities\nDesign, develop, test, deploy, and maintain enterprise ETL and data integration processes supporting analytical data warehouses and reporting environments.\nAnalyze existing ETL workflows and recommend opportunities to redesign, simplify, consolidate, optimize, or replace legacy data-processing logic.\nDevelop batch and incremental data loads that extract data from operational systems, transform data according to business and technical rules, and load analytical warehouse structures.\nDevelop and maintain transformation logic using SQL, PL/SQL, ETL development tools, scripting languages, or other appropriate data-engineering technologies.\nDesign and support analytical data warehouse structures including fact tables, dimension tables, star schemas, snowflake schemas, data marts, and other dimensional models.\nImplement slowly changing dimensions, surrogate keys, historical tracking, aggregation, lookup, reference-data, and other common data warehouse patterns.\nDevelop and maintain source-to-target mappings, transformation specifications, load rules, dependencies, and supporting technical documentation.\nWork with application and functional teams to understand source-system data structures, business rules, code values, relationships, and downstream analytical requirements.\nBuild data-validation and reconciliation processes to confirm completeness, accuracy, consistency, and integrity between source systems, ETL processing, warehouse structures, and downstream reports.\nTroubleshoot failed ETL jobs, data-quality issues, transformation errors, duplicate or missing records, schema changes, and discrepancies between operational and analytical systems.\nOptimize ETL processing for performance, scalability, reliability, and maintainability, including SQL tuning, bulk-processing techniques, parallel execution, load sequencing, and efficient data movement.\nWork with DBAs to optimize database structures, indexes, partitions, statistics, materialized views, and other physical database components supporting warehouse performance.\nDevelop restart, recovery, exception-handling, logging, audit, and monitoring capabilities for production ETL processes.\nSupport scheduling and orchestration of ETL workflows, dependencies, batch jobs, and downstream reporting processes.\nAssess the impact of source-system changes, application upgrades, database changes, and business-rule changes on existing ETL and warehouse processes.\nSupport modernization of legacy ETL technologies and data-processing patterns to more maintainable and supportable approaches.\nParticipate in testing, defect resolution, data reconciliation, release, migration, and production-validation activities.\nCreate and maintain technical documentation including ETL designs, source-to-target mappings, data models, job flows, transformation rules, deployment procedures, and operational support guidance.\nCollaborate with BI developers to ensure warehouse structures and data pipelines support required semantic models, reports, dashboards, and analytical use cases.\nParticipate in Agile/SAFe activities including PI Planning, backlog refinement, iteration execution, demonstrations, testing, and release planning.\nOther duties as assigned.\nRequirements\nMust be a U.S. Citizen with an active Secret security clearance or be able to obtain one.\nBachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, or a related field; equivalent relevant experience may be considered.\n3+ years of hands-on data engineering, ETL development, data warehousing, database development, or related enterprise data experience.\nStrong hands-on experience designing, developing, troubleshooting, and supporting ETL processes in complex enterprise environments.\nStrong SQL skills and experience working with Oracle or comparable relational databases.\nExperience developing complex data transformations, joins, aggregations, lookups, data cleansing, validation, and reconciliation logic.\nStrong understanding of analytical data warehouse concepts including facts, dimensions, star schemas, snowflake schemas, data marts, surrogate keys, and slowly changing dimensions.\nExperience developing source-to-target mappings and translating business and technical requirements into data transformation and loading logic.\nExperience with batch processing, incremental loading, scheduling, dependencies, restart/recovery, error handling, and production support of ETL processes.\nExperience troubleshooting data-quality, ETL, SQL, performance, and data-integration issues through structured root-cause analysis.\nUnderstanding of database performance considerations including indexing, partitioning, query optimization, bulk processing, and large-volume data movement.\nStrong written and verbal communication skills and ability to collaborate effectively with BI, database, application, infrastructure, and business teams.\nDesired Skills\nHands-on experience with one or more enterprise ETL technologies such as Ab Initio, Informatica PowerCenter, Oracle Data Integrator (ODI), IBM DataStage, Talend, SSIS, or comparable data integration tools.\nStrong experience with Oracle Database and PL/SQL, including packages, procedures, functions, cursors, bulk processing, and performance tuning, is a plus.\nExperience developing ETL solutions implemented primarily through SQL and stored procedures as well as through commercial ETL platforms.\nExperience modernizing, replacing, or consolidating legacy ETL processes and data warehouse workloads.\nStrong experience with dimensional data modeling, including star schemas, conformed dimensions, fact-table design, slowly changing dimensions, and analytical data marts.\nExperience supporting large enterprise data warehouses with high-volume batch loads and complex source-system dependencies.\nExperience with Oracle database performance features such as partitioning, materialized views, parallel processing, bulk operations, and query optimization.\nExperience with job scheduling or workload automation technologies used to coordinate enterprise batch and ETL processing.\nExperience with data-quality frameworks, reconciliation processes, metadata management, lineage, or data-governance practices.\nKnowledge of PeopleSoft HCM data structures, Oracle-based enterprise applications, or HR/payroll data is a plus.\nExperience working with business intelligence and analytics teams using Oracle Analytics Server (OAS), Oracle Analytics Cloud (OAC), or comparable reporting platforms is a plus.\nExperience working in Agile or SAFe environments and using Azure DevOps (ADO) or a similar lifecycle-management tool.\nExperience supporting secured Federal or DoD enterprise systems is preferred.\nOracle Database, data engineering, ETL, data warehousing, or related certification is a plus.\nAdditional Information\nClearance: Must be a U.S. Citizen with an active Secret security clearance.\n Work Environment: Onsite/Hybrid as required by the contract.\nThis is a full-time, W2 position.\nNo agencies, third parties, or Corp-to-Corp submissions.\nSpatial Front Inc. is an Equal Opportunity Employer - all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status.\nSFI participates in E-Verify.\nSalary Description\n$80,000-130,000","description_format":"text","description_chars":8505,"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":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-23T10:15:19Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 5 · green card filings: 2","filings_12m":5,"filings_prev_12m":8,"green_card_filings_12m":2,"median_offered_wage_usd":93929,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":1}],"liveness":{"score":23,"band":"cold","label":"Long shot","p_open":1,"p_active":0.504,"p_room":0.45,"age_days":44,"expected_fill_days":27,"reasons":["conf:1","stale_co","velocity","win:tail"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":130000,"is_top_pay":true},"html_url":"https://alion.io/job/spatial-front-data-engineer","json_url":"https://alion.io/job/spatial-front-data-engineer.json","meta":{"generated_at":"2026-11-01T18:01:28Z","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":27582,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":4414873},"rest":"https://alion.io/mcp/rest/get_company?id=4414873"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fspatial-front-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%2Fspatial-front-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%2Fspatial-front-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/spatial-front-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fspatial-front-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3145960}},{"tool":"search_jobs","arguments":{"company":"spatialfront.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3145960},"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. Docs: https://alion.io/developers"}}