{"id":2181578,"url":"https://alion.io/job/booz-allen-hamilton-data-engineer-senior-14","title":"Data Engineer, Senior","company":{"id":244,"name":"Booz Allen Hamilton","domain":"boozallen.com","url":"https://alion.io/company/booz-allen","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":146,"ghost_share":0,"stale_share":0.555,"repost_share":0.027,"time_to_fill_p50_days":29,"computed_at":"2026-10-25T05:49:26Z"}},"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":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":77600,"max":176000,"currency":"USD","period":"year","gross":null,"usd_annual":176000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Spark","optional":true}],"status":"closed","first_seen_at":"2026-10-09T15:05:26Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-25T06:47:42Z","board_verified":false,"closed_at":"2026-10-25T06:47:42Z","days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Data Engineer, SeniorThe Opportunity:\nWe are seeking a highly technical and mission-driven senior Data Engineer to design, build, and optimize data infrastructure for a Service-level Headquarters organization. In this role, you will leverage the Palantir Foundry ecosystem to transform highly unstructured, multi-source data into scalable, production-ready pipelines that power advanced analytics and a force-wide common operating picture (COP). You will architect and operationalize data solutions that enhance organizational insight into readiness, capacity, and force-generation activities-helping senior leaders move from raw data to actionable, reliable information. This position is located in Arlington, VA.\nWhat You’ll Work On:\nArchitect, build, and maintain scalable ETL/ELT pipelines using Palantir Foundry, including Pipeline Builder and Code Repositories, to ingest and process highly unstructured data sources.\nDesign, implement, and optimize the Foundry Ontology to ensure secure, logically structured data models that enable advanced analytics and Activity Based Intelligence (ABI).\nEngineer high-performance transformation logic using PySpark, Python, and SQL tailored for distributed, large-scale data processing.\nCollaborate with data scientists and analysts to operationalize statistical models and custom algorithms in secure production environments.\nDiagnose and resolve system bottlenecks, ensuring high performance across both cloud and classified compute environments.\nEstablish data quality, validation frameworks, and automated pipeline monitoring to guarantee the integrity of inputs feeding analytics models.\nJoin us. The world can’t wait.\nYou Have:\n5+ years of experience with data engineering or big data\nExperience in PySpark, Python, and SQL\nExperience building complex data pipelines and transformations within distributed platforms such as Palantir Foundry\nExperience structuring, formatting, and optimizing large-scale datasets for consumption by engineering teams and mathematical or statistical models\nKnowledge of distributed systems, data warehousing concepts, and data governance in secure enclaves\nTS/SCI clearance\nBachelor’s degree in Computer Science or Engineering\nNice If You Have:\nExperience with AWS, Azure, or similar cloud computing architectures supporting large data platforms\nExperience processing and scaling geospatial datasets for intelligence or operational mapping\nExperience with CI/CD pipelines and version control best practices\nExperience with DoW Global Force Management policies and processes\nKnowledge of mathematical modeling and statistical analysis frameworks\nKnowledge of DoW institutional datasets such as War Data Platform\nClearance:\nApplicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.\nCompensation\nAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.\nSalary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement\nAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.\nCandidate AI Usage Policy\nAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.\nWork Model\nOur people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.\nRemote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.\nHybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.\nOnsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.\nCommitment to Non-Discrimination\nAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.","description_format":"text","description_chars":6202,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Government","Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-09T15:05:26Z"},{"event":"close","at":"2026-10-25T06:47:42Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 10 · green card filings: 2","filings_12m":10,"filings_prev_12m":16,"green_card_filings_12m":2,"median_offered_wage_usd":170833,"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":0}],"liveness":null,"pay":{"stated_usd_annual":176000,"is_top_pay":true},"html_url":"https://alion.io/job/booz-allen-hamilton-data-engineer-senior-14","json_url":"https://alion.io/job/booz-allen-hamilton-data-engineer-senior-14.json","meta":{"generated_at":"2026-10-25T08:00:48Z","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":11443,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":244},"rest":"https://alion.io/mcp/rest/get_company?id=244"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbooz-allen-hamilton-data-engineer-senior-14"},{"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%2Fbooz-allen-hamilton-data-engineer-senior-14"},{"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%2Fbooz-allen-hamilton-data-engineer-senior-14"},{"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/booz-allen-hamilton-data-engineer-senior-14\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbooz-allen-hamilton-data-engineer-senior-14"}]}