{"id":3584655,"url":"https://alion.io/job/booz-allen-hamilton-data-engineer-mid-10","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":"B","score":84,"open_postings":184,"ghost_share":0.005,"stale_share":0.603,"repost_share":0.038,"time_to_fill_p50_days":30,"computed_at":"2026-11-03T05:54:40Z"}},"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":["McLean, 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":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Jenkins","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"ChatGPT","optional":true},{"name":"Copilot","optional":true}],"status":"live","first_seen_at":"2026-10-30T00:00:00Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-03T20:56:35Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Data Engineer, MidThe Opportunity:\nAs a data engineer, you know that reliable data is critical to building modern applications and enabling informed decision-making. We’re looking for a data engineer like you to help develop and automate data pipelines that transform complex data into usable, reliable information.\nAs a data engineer on our team, you’ll work with experienced engineers and technical teams to design, develop, test, and maintain data pipelines and data processing workflows. You’ll use modern data engineering technologies such as Databricks and Python to integrate, transform, and move data across enterprise environments.\nThis is an opportunity to grow your data engineering expertise while working with cloud technologies, automation, and modern data platforms. You’ll collaborate with developers, data engineers, and stakeholders to solve technical challenges and deliver scalable solutions. Due to the nature of work performed within this facility, U.S. citizenship is required.\nWhat You’ll Work On:\nDevelop and maintain data pipelines and automated data processing workflows.\nBuild data transformations and processing workflows using Databricks, SQL, and Python.\nIntegrate data from multiple sources and formats.\nAutomate repetitive data processing and operational tasks.\nTest, troubleshoot, and optimize data pipelines for reliability and performance.\nCollaborate with senior engineers and technical teams to implement data solutions.\nParticipate in Agile development, code reviews, testing, and deployment activities.\nContribute to technical documentation and data engineering best practices.\nWork with us to use data for good.\nJoin us. The world can’t wait.\nYou Have:\n3+ years of experience in data engineering, database development, or data warehousing\nExperience developing data pipelines using Python, and Apache Spark or PySpark for processing large datasets\nExperience with Git or GitHub for source-code management and collaborative development\nExperience with Jenkins, SQL, including complex queries, joins and aggregations, CTEs, window functions, query optimization, and performance tuning, and relational databases, including database development, troubleshooting, and performance considerations\nKnowledge of data warehousing concepts, including ETL/ELT, fact and dimension tables, star and snowflake schemas, slowly changing dimensions, and data integration, and data quality concepts, including data validation, completeness, accuracy, consistency, duplicate detection, and data reconciliation\nKnowledge of data modeling, including conceptual, logical, and physical data models, and data governance, including data ownership and stewardship, metadata, data lineage, data security, data classification, and data standards\nKnowledge of CI/CD pipelines, including automated builds, testing, and deployments\nAbility to develop and support Spark-based processing workflows\nPublic Trust \nBachelor's degree \nNice If You Have:\nExperience with Databricks or similar cloud-based data platforms\nExperience with Amazon Web Services (AWS)\nExperience with AWS services such as S3, Glue, Lambda, or similar technologies\nExperience with data lake or Lakehouse environments\nExperience with DevSecOps practices, Infrastructure-as-Code, or automated data quality checks\nExperience working with large or complex datasets\nExperience working in federal or other highly regulated environments\nAbility to effectively use approved AI-assisted development tools such as GitHub Copilot, ChatGPT, Amazon Q, or similar tools, to improve productivity, troubleshoot issues, generate and review code, create documentation, and accelerate learning while following organizational security and data-protection standards\nVetting:\nApplicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination 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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