Data Engineer
The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before.
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use big data for good.
Join us. The world can’t wait.
You Have:
5+ years of experience in Spark development, including PySpark or Java Spark
5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale
5+ years of experience with big data and building ETL pipelines to efficiently process petabyte scale data
Experience with modeling complex data structures of varied formats
Experience with distributed data and computing tools, including Spark, AWS, or Kafka
Experience creating solutions within a collaborative, cross-functional team environment
Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
TS/SCI clearance with a polygraph
Bachelor’s degree
Nice If You Have:
Experience with large-scale NoSQL databases such as Cassandra
Experience with large-scale Postgres databases
Experience with graph databases, graph data modeling, and optimizing graph traversals
Experience with containerization technology such as Docker or Kubernetes
Experience with Agile engineering practices
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 with polygraph is required.
Compensation
Posted July 27, 2026