Data Engineer

Data Engineer Rapid advances in IoT, machine learning, and artificial intelligence give organizations access to more data than ever before—both structured and unstructured. Turning that data into actionable insight requires strong engineering, thoughtful design, and scalable platforms. As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that power mission‑critical outcomes, working on complex, high‑impact programs that help clients solve real‑world challenges. You’ll collaborate with analysts, AI engineers, developers, and stakeholders in a fast‑paced, agile environment and lead technical efforts across assessment, design, development, and sustainment while mentoring teammates and driving best practices. Responsibilities Design, build, and maintain scalable data pipelines and platforms. Develop secure, efficient Python for data processing, automation, and warehousing. Migrate and integrate data from on‑premises systems to cloud environments. Implement CI/CD pipelines to automate build, test, and deployment workflows. Develop SQL scripts and stored procedures for data processing and transformation. Apply data modeling best practices. Support data governance, metadata tagging, and access controls. Partner with cross‑functional teams to deliver end‑to‑end data solutions. Provide technical guidance in a complex enterprise environment. Qualifications 2+ years of experience as a data engineer supporting large‑scale enterprise systems. Experience writing clean, secure, and efficient Python for data engineering use cases. Experience moving data from on‑prem environments to the cloud and automating development workflows, including building, deploying, or managing applications. Experience with CI/CD practices. Experience with SQL, including stored procedures and data modeling. Experience with data governance and data tagging. Knowledge of AWS services, such as S3, IAM, EventBridge, Step Functions, or Lambda. Ability to work independently and manage tasks with minimal supervision. TS/SCI clearance. HS diploma or GED. Nice to Have Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem. Experience with ETL tools, such as dbt and Airflow. Experience with NoSQL and graph databases, and DevOps tools and automation practices. Experience designing and building data warehouses. Experience working in multiple SDLC models, including Agile, Waterfall, Iterative, or Spiral. Experience with open table formats, such as Apache Iceberg. Experience with infrastructure‑as‑code, including Terraform or CloudFormation. Knowledge of data lakes and lakehouse architectures and database performance concepts, such as partitioning. Knowledge of Zero Trust and attribute‑based access control (ABAC). Clearance Applicants 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. Compensation and Benefits Projected compensation range: $77,500.00 to $176,000.00 (annualized USD). You will receive a comprehensive benefits package that includes health, life, disability, financial, and retirement benefits, plus paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Equal Opportunity All 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. #J-18808-Ljbffr