Data Engineer, Mid — AI-Driven Data Pipelines

Booz Allen Hamilton

Washington, Northern (District of Columbia, KY)

Hybrid

USD 78,000 - 176,000

Full time

3 days ago
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Job summary

Booz Allen Hamilton seeks a Mid Data Engineer to help build pipelines and scalable data platforms for mission-driven projects in the DC area. You will deploy and develop data pipelines, organize disparate data sources, and collaborate with analysts, developers, and data consumers in a fast-paced, agile environment.

Ideal candidates have 2+ years with Python or R, experience with APIs/databases, and familiarity with LLMs/GenAI.

Qualifications

  • Bachelor’s degree in a related field and 3+ years of data engineering experience.
  • 2+ years of experience with Python or R for data science.
  • Experience retrieving, merging, and analyzing data from APIs and databases.
  • Experience with LLMs/GenAI and preparing data for AI/GenAI models.
  • Experience with data analytics, data mining, statistical analysis, or AI/ML.
  • TS/SCI clearance with a polygraph.
  • Bachelor’s degree and 3+ years of experience in data engineering, or 7+ years of experience in data engineering in lieu of a degree.

Responsibilities

  • Build and deploy data pipelines and platforms.
  • Organize and make disparate data meaningful.
  • Collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
  • Lead assessment, design, build, and maintenance of scalable data platforms.
  • Support clients to derive insights for missions.

Skills

Python
R
APIs/Databases
LLMs/GenAI
Data analytics/AI/ML
TS/SCI with polygraph
Data engineering degree or experience

Education

Bachelor’s degree or equivalent in data engineering/related field
7+ years data engineering in lieu of degree

Tools

SQL
APIs

Job description

Booz Allen Hamilton seeks a Mid Data Engineer to help build pipelines and scalable data platforms for mission-driven projects in the DC area. You will deploy and develop data pipelines, organize disparate data sources, and collaborate with analysts, developers, and data consumers in a fast-paced, agile environment.

Ideal candidates have 2+ years with Python or R, experience with APIs/databases, and familiarity with LLMs/GenAI.

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