Data Engineer, Mid

Booz Allen Hamilton•Aurora, CO
•$61,900 - $141,000•Onsite

About The Position

Booz Allen is seeking a Data Engineer to build advanced technology solutions and implement data engineering activities on mission-driven projects. The role develops and deploys pipelines and platforms that organize data from disparate sources and make it meaningful, supporting client missions such as fraud detection, cancer research, and national intelligence. The Data Engineer works with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The position supports the assessment, design, development, and maintenance of scalable client platforms, while applying analytical exploration and data examination skills.

Requirements

  • At least 1 year of experience utilizing programming languages, including Python.
  • Experience with 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 verbally or in writing to audiences with varying levels of technical knowledge.
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data.
  • Top Secret clearance.
  • Bachelor's degree.

Nice To Haves

  • Experience creating solutions within a collaborative, cross-functional team environment.
  • Experience conducting root cause analysis and developing technical solutions to solve challenges.
  • TS/SCI clearance with a polygraph.

Responsibilities

  • Build advanced technology solutions and implement data engineering activities for mission-driven projects.
  • Develop and deploy data pipelines and platforms that organize disparate data and make it meaningful.
  • Support the assessment, design, development, and maintenance of scalable platforms for clients.
  • Create software to retrieve, parse, and process structured and unstructured data.
  • Use data to help clients answer questions and support mission outcomes.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards program for exceptional performance and demonstration of company values.
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