Data Engineer

Data Engineer

Job Number:

R0239684

Data EngineerThe Opportunity:

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.

You Have:

3+ years of experience in data engineering, data integration, or backend data developmentExperience designing, building, and maintaining ETL/ELT data pipelinesExperience in SQL and PythonExperience ingesting and integrating data from multiple sources such as APIs, flat files, and databasesExperience with cloud-based data platforms, including AWS, and distributed data processingExperience working in Agile development environments and collaborating with cross-functional teamsAbility to translate technical data concepts for stakeholdersTop Secret clearanceBachelor's degree in

Computer Science, Data Science, or EngineeringNice If You Have:

Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon RedshiftExperience implementing data validation, quality checks, and monitoring within pipelinesExperience with data lake or lakehouse architectures and columnar storage formats such as ParquetExperience with big data frameworks such as Apache Spark and supporting data platforms, analytics environments, or AI/ML pipelinesExperience with DevSecOps practices and tools, including GitLab CI/CD or TerraformKnowledge of data modeling concepts and data pipeline architectures such as medallion or layered approachKnowledge of API-driven data access and event-driven integration patternsAbility to optimize data workflows for performance, scalability, and reliabilityPossession of strong problem-solving skillsIAT Level II, CompTIA Security+,

Computing Environment, or AWS CCP CertificationClearance:

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.

CompensationAt 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 ...For full information see follow application link. Commitment to Non-Discrimination - 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.