Data Engineer

BE EMPOWERED TO SUCCEED

Connect with others in our people‑first culture and enhance our collective ingenuity.

Learn how we’ll support you as you pursue a balanced, fulfilling life.

Discover what to expect during your journey as a candidate with us.

Data is only as powerful as the pipelines that move it, the structure that organizes it, and the trust that supports it. As a Data Engineer, you’ll help build and scale a cloud‑native data platform that enables mission‑critical insights across the enterprise.

In this role, you’ll design, build, and optimize data pipelines that ingest, transform, and deliver data from a wide range of internal and external sources. You’ll work within a modern AWS‑based data ecosystem to support analytics, APIs, and AI/ML use cases ensuring data is reliable, secure, and accessible to those who need it.

You’ll collaborate closely with cloud engineers, API developers, data analysts, and mission stakeholders to develop reusable data products and scalable ingestion frameworks. From batch ingestion to near real‑time processing, your work will directly support national security missions by turning raw data into actionable intelligence.

Work with us to build the backbone of enterprise data.

Join us. The world can’t wait.

• 3+ years of experience in data engineering, data integration, or backend data development
• Experience designing, building, and maintaining ETL/ELT data pipelines
• Experience in SQL and Python
• Experience ingesting and integrating data from multiple sources such as APIs, flat files, and databases
• Experience with cloud‑based data platforms, including AWS, and distributed data processing
• Experience working in Agile development environments and collaborating with cross‑functional teams
• Ability to translate technical data concepts for stakeholders
• Bachelor's degree in Computer Science, Data Science, or Engineering

• Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon Redshift
• Experience implementing data validation, quality checks, and monitoring within pipelines
• Experience with data lake or lakehouse architectures and columnar storage formats such as Parquet
• Experience with big data frameworks such as Apache Spark and supporting data platforms, analytics environments, or AI/ML pipelines
• Experience with Dev Sec Ops  practices and tools, including Git Lab CI/CD or Terraform
• Knowledge of data modeling concepts and data pipeline architectures such as medallion or layered approach
• Knowledge of API‑driven data access and event‑driven integration patterns
• Ability to optimize data workflows for performance, scalability, and reliability
• Possession of strong problem‑solving skills
• IAT Level II, CompTIA Security+, Computing Environment, or AWS CCP Certification

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Top Secret clearance is required.

At 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.

Salary 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 $ (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.