Data Engineer, Mid

Booz Allen Hamilton•Alexandria, VA
•$62,000 - $141,000•Onsite

About The Position

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 data can yield pivotal insights when it’s gathered from disparate sources. We 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. As 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. You’ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait.

Requirements

  • 2+ years of experience utilizing programming languages, including Python
  • Experience using data manipulation and extract, transform, and load (ETL) procedures
  • Experience leveraging APIs to query systems
  • Experience developing data visualizations, dashboards, or lightweight Web applications to communicate key insights
  • Experience communicating information in verbal or written formats to an audience with varying technical knowledge
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data
  • Experience creating solutions within a collaborative, cross-functional team environment
  • TS/SCI clearance
  • Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Analytics

Nice To Haves

  • TS/SCI clearance with a polygraph

Responsibilities

  • Build advanced technology solutions
  • Implement data engineering activities on mission-driven projects
  • Develop and deploy pipelines and platforms that organize and make disparate data meaningful
  • Work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
  • Support the assessment, design, developing, and maintenance of scalable platforms for clients
  • Conduct root cause analysis and develop technical solutions to solve challenges

Benefits

  • Health, life, disability, financial, and retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service