Data and ML Engineer

Booz Allen Hamilton•McLean, VA

About The Position

As a Data and ML Engineer at Booz Allen, you will help clients extract insights from structured and unstructured data to support mission-driven work, including areas such as fraud detection, cancer research, and national intelligence. You will build and deploy data pipelines and platforms that organize data from disparate sources and make it useful. Working with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, you will support the assessment, design, development, and maintenance of scalable platforms and perform analytical exploration and data examination.

Requirements

  • At least 3 years of experience using programming languages such as C++, Java, or Python.
  • Experience building and modernizing data pipelines.
  • Experience using statistical methods to analyze data and communicating results to stakeholders.
  • Knowledge of AI modeling practices.
  • Ability to develop scripts and programs to convert various types of data into usable formats and support project teams in scaling, monitoring, and operating data platforms.
  • Ability to obtain a Secret clearance.
  • Bachelor's degree.

Nice To Haves

  • Experience with compliance-driven requirements.
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud.
  • Knowledge of software development or engineering practices.
  • Master's degree.

Responsibilities

  • Build and modernize data pipelines.
  • Develop and deploy pipelines and platforms that organize disparate data and make it meaningful.
  • Develop scripts and programs to convert different types of data into usable formats.
  • Support project teams in scaling, monitoring, and operating data platforms.
  • Use statistical methods to analyze data and communicate results to stakeholders.
  • Support the assessment, design, development, and maintenance of scalable client platforms.

Benefits

  • Health, life, disability, 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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