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Booz Allen Hamilton Logo Booz Allen Hamilton · IT - Software Development

Databrick Engineer

United States, Fort Meade Employment contract 77600.00 - 176000.00 USD / Year · Job Posted June 02, 2026
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Job Description

As a Data Engineer on the Databricks platform at Booz Allen, you'll support mission-critical data initiatives for defense, intelligence, and civil clients. You'll help design, build, and maintain scalable data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision advantage at scale. Join a team that accelerates national security outcomes through data engineering excellence. Work with cutting-edge tools like Databricks, Delta Lake, and PySpark to transform raw data into actionable insights for America's toughest challenges. Work with us to use data for good.

Requirements

  • 2+ years of experience with Databricks platform including compute and resource management and data engineering capabilities
  • 2+ years of experience with Python, Pyspark, and SQL programming language
  • Experience creating and enforcing cluster usage and policies
  • Experience managing cluster-scoped or global init scripts and handling library dependencies such as PyPI, Maven, or CRAN
  • Experience with tiered name spacing such as catalog, schema, table, and configuring Role-Based Access Control (RBAC) for users and Service Principals
  • Knowledge of identity management including managing users and groups on Databricks or a cloud-native data environment
  • Ability to implement and enforce workspace policies and organizational standards
  • Ability to respond to support requests such as login issues and user inquiries in a timely manner
  • Secret clearance
  • HS diploma or GED

Nice to have

  • Experience with Infrastructure as Code (IaC) platform such as Terraform to automate provisioning and configuration of workspaces
  • Experience using Databricks CLI and REST APIs for bulk operations
  • Experience in regulated environments such as DoW or Intelligence Community
  • Experience implementing data engineering concepts such as developing ETL, medallion architecture, and pipelines
  • Experience tuning clusters and optimizing Spark SQL logic to improve performance and cost
  • Knowledge of Zero Trust Architecture (ZTA) principles
  • Knowledge of Spark execution
  • Databricks Certified Platform Administrator or Certified Data Engineer Certification

What we offer

  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
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