{"id":3796157,"url":"https://alion.io/job/booz-allen-hamilton-azure-data-engineer-2","title":"Azure Data Engineer","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":81,"open_postings":262,"ghost_share":0.015,"stale_share":0.687,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Melbourne, 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":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Databricks","optional":false},{"name":"Dynatrace","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"MS SQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-11-05T09:11:23Z","employer_posted_date":null,"last_verified_at":"2026-11-05T15:27:10Z","board_verified":false,"closed_at":"2026-11-05T15:27:10Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Booz Allen Hamilton is hiring an Azure Data Engineer to build advanced technology solutions and implement data engineering activities for mission-driven projects. The role develops and deploys data pipelines and platforms and supports the design, development, and maintenance of scalable client platforms.\n\nResponsibilities\nWe need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research, to national intelligence\nAs a data engineer at Booz Allen, you’ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry\nYou’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful\nHere, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment\nYou’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, development, and maintenance of scalable platforms for your clients\n\nSkills\n3+ years of experience building scalable ETL or ELT pipelines for reporting and analytics, using Azure Synapse Analytics or Azure Data Factory and Azure Databricks\n3+ years of experience with direct development using Azure services such as Azure Synapse Analytics or Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, and Azure Databricks\nExperience building and maintaining resilient ingestion pipelines from various sources, including REST APIs, databases, event streams, and SaaS platforms such as Genesys and SalesForce\nExperience with data modeling\nExperience designing and implementing scalable Lakehouse architectures in Synapse and Azure Databricks following medallion architecture patterns\nExperience mentoring junior engineers and contributing to data engineering standards and best practices\nKnowledge of monitoring and alerting tools such as Azure Monitor or Dynatrace\nAbility to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements\nBachelor's degree\nExperience with Python, PySpark, and SQL, including T-SQL and Spark SQL\nExperience building automated testing frameworks that can be used to proactively catch data issues\nExperience with Cloud-based testing tools, including Collibra's Data Quality\nExperience with distributed data or computing tools, including Apache Spark and Azure Databricks\nExperience writing data quality checks for large data sets using custom scripts in either Azure Synapse or Azure Databricks\nExperience with observability and pipeline monitoring\nExperience working on real-time data and streaming applications\nExperience championing CI/CD practices for data pipelines deployments using Azure DevOps or GitHub Actions\nKnowledge of best testing practices and patterns in a Cloud environment\nAbility to integrate testing protocols into monitoring applications, including Dynatrace or Splunk\n\nBenefits\nHealth, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, and dependent care; 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 who do not meet that threshold are eligible only for select offerings, not including health benefits.\nRecognition awards for exceptional performance and superior demonstration of Booz Allen’s values.\n\nCompany Overview\nBooz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. It was founded in 1914, and is headquartered in Mclean, Virginia, USA, with a workforce of 10001+ employees. Its website is http://www.boozallen.com.\n\nCompany H1B Sponsorship\nBooz Allen Hamilton has a track record of offering H1B sponsorships, with 9 in 2026, 16 in 2025, 15 in 2024, 38 in 2023, 23 in 2022, 17 in 2021, 49 in 2020. 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