Data Engineer, Mid

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

About The Position

As a Data Engineer at Booz Allen, you will help clients find insights in structured and unstructured data gathered from disparate sources, supporting mission-driven work such as fraud detection, cancer research, and national intelligence. You will build advanced technology solutions and carry out data engineering activities, developing and deploying pipelines and platforms that organize data and make it meaningful. You will work with a multidisciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. The role includes supporting 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 technical knowledge.
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data.
  • Top Secret clearance.
  • High school diploma or GED.

Nice To Haves

  • Experience creating solutions in a collaborative, cross-functional team environment.
  • Experience conducting root cause analysis and developing technical solutions.
  • TS/SCI clearance with a polygraph.
  • Bachelor's degree.

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 client platforms.
  • Create software to retrieve, parse, and process structured and unstructured data.
  • Develop data visualizations, dashboards, or lightweight web applications to communicate insights.
  • Communicate information verbally and in writing to audiences with varying levels of technical knowledge.

Benefits

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