Databricks Engineer — AI-Driven Data Solutions for Government

Booz Allen Hamilton; Bethesda (MD); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton seeks a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions for government mission needs. This role requires strong practical experience with core Databricks features, modern data architectures, and disciplined software engineering in regulated SDLC environments.

You will apply AI-enabled analytics and ML techniques to solve real-world operational and decision-support problems, collaborating with teams while maintaining compliance

Qualifications

• 3+ years of experience in data engineering or analytics engineering.
• 2+ years of experience with the Databricks platform.
• Experience with PySpark and Spark SQL.
• Experience with Databricks clusters, jobs or workflows, Delta Lake, and Unity Catalog in production environments.
• Experience integrating Databricks with CI/CD pipelines and enterprise SDLC tooling.
• Knowledge of Python for data engineering and ML workflows.
• Knowledge of cloud platforms such as AWS, Azure, or GCP and their data services.
• Ability to operate effectively in regulated government environments and obtain required clearances.

Skills

Data engineering experience

Databricks experience

PySpark

Spark SQL

Python for data ML

Cloud platforms (AWS/Azure/GCP)

Compliance-driven environments

Public Trust eligibility

Education

Bachelor’s degree

Tools

Databricks

Delta Lake

Unity Catalog

CI/CD tooling

AWS

Azure

GCP

Job description

Booz Allen Hamilton seeks a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions for government mission needs. This role requires strong practical experience with core Databricks features, modern data architectures, and disciplined software engineering in regulated SDLC environments.

You will apply AI-enabled analytics and ML techniques to solve real-world operational and decision-support problems, collaborating with teams while maintaining compliance