{"id":4222270,"url":"https://alion.io/job/booz-allen-hamilton-data-engineer-mid-11","title":"Data Engineer, Mid","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":85,"open_postings":236,"ghost_share":0.008,"stale_share":0.551,"repost_share":0.034,"time_to_fill_p50_days":32,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fort Belvoir, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":62000,"max":141000,"currency":"USD","period":"year","gross":null,"usd_annual":141000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Dagster","optional":true},{"name":"Docker","optional":true},{"name":"DVC","optional":true},{"name":"GitLab","optional":true},{"name":"Grafana","optional":true},{"name":"Jira","optional":true},{"name":"Linux","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Power BI","optional":true},{"name":"Prefect","optional":true},{"name":"Redis","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-12T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-14T14:56:55Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Data Engineer, MidThe Opportunity:\nHelp modernize how a U.S. Army's program captures, preserves, and reuses data generated during high-value system test events. Design and implement dependable data storage and processing capabilities that replace manual file transfers and fragmented local copies with secure, organized, searchable repositories. Ensure valuable datasets remain discoverable, accurate, and useful as the deployed software system and its configurations evolve.\nCollaborate with software developers, systems engineers, test personnel, and AI/ML practitioners to automate data ingestion, quality validation, relevance-based curation, indexing, version tracking, and backup and recovery. Preserve source provenance and test-event and software-version context so trusted datasets can support performance analysis, government reporting, partner-facing metrics, and model training. Build a foundation for future automated dashboards and controlled data access by authorized stakeholders.\nJoin us. The world can't wait.\nYou Have:\n4+ years of experience in data engineering, database development, or data-platform work supporting software or test environments, including Python, SQL, data transformation, complex queries, source control with Git, automated testing, and peer review\nExperience deploying, configuring, securing, monitoring, tuning, backing up, and troubleshooting locally hosted relational or NoSQL databases, including schema and data modeling, indexing, query optimization, data integrity, and controlled access\nExperience building and operating scheduled batch or near-real-time ETL/ELT pipelines that ingest data from files, APIs, applications, and databases, with validation, relevance-based filtering, logging, alerts, automated retries, and failure recovery to keep data accurate and available\nExperience managing data retention and reuse through test-event and source metadata, dataset provenance, software-version traceability, relevance-based curation, automated backups, and recovery testing\nAbility to translate developer, tester, and stakeholder needs into supportable data solutions\nSecret clearance\nHS diploma or GED\nNice If You Have:\nExperience supporting U.S. Army or other DoD software development, testing, evaluation, or sustainment programs, particularly with test-event datasets, telemetry, application logs, system performance metrics, or technical reporting\nExperience with Redis architectures, including data structures, indexing, and persistence, together with complementary technologies such as PostgreSQL, object storage, or on-premises data platforms for durable, high-performance retrieval\nExperience preparing reproducible AI/ML training, evaluation, or inference datasets through profiling, labeling, normalization, deduplication, feature preparation, and version tracking\nExperience supporting Agile or Scrum software teams with CI/CD and repeatable deployments, including workflow orchestration tools such as Apache Airflow, Dagster, or Prefect and planning or release tools such as GitLab, Azure DevOps, or Jira\nExperience implementing data catalogs, metadata management, data lineage, schema-evolution controls, or dataset versioning using methods and tools such as DVC, lakeFS, data contracts, or comparable governance practices\nExperience building automated performance dashboards and traceable reports with Power BI, Grafana, Tableau, or Python visualization tools, including drill-down links or references to source datasets\nExperience working in Linux-based, on-premises, restricted, or disconnected environments using Docker or other containers, secure networking, role-based access, audit logging, or controlled remote or API access\nExperience with event-driven or distributed data processing such as Kafka or Spark\nClearance:\nApplicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $62,000.00 to $141,000.00 (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 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