Databricks Engineer

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Bethesda, MDWashington, DC
Salary
$62,000–$141,000 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k
This role $102k
$44k most similar roles pay here $229k

This role pays less than 90% of similar roles. Most pay $129,126–$211,200 — the shaded band above. At the midpoint, this role pays about $102k versus about $170k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 821 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 799 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Databricks Engineer

The Databricks Engineer joins the team to design, build, and operate scalable data and analytics solutions that support government mission needs. This role involves applying AI-enabled analytics and machine learning techniques to solve real-world operational and decision-support problems within regulated software development life cycle environments. The successful candidate will work with core Databricks platform capabilities including Delta Lake, Unity Catalog, clusters, jobs, and workflows. Technical requirements include proficiency in PySpark, Spark SQL, and Python for data engineering and machine learning workflows. Additionally, the role requires experience integrating Databricks with CI/CD pipelines and enterprise tools, along with knowledge of cloud platforms such as AWS, Azure, or GCP. The position focuses on delivering high-quality data architecture within a structured, compliance-driven environment to address critical government infrastructure and operational challenges through modern engineering practices.

What you'll do

  • Design, build, and operate scalable data and analytics solutions for government mission needs.
  • Develop and maintain production environments using Databricks clusters, jobs, workflows, Delta Lake, and Unity Catalog.
  • Write high-quality code using PySpark and Spark SQL to process large datasets.
  • Implement AI-enabled analytics and machine learning techniques to solve operational problems.
  • Integrate Databricks with CI/CD pipelines and enterprise software development lifecycle tools.
  • Develop data engineering and machine learning workflows using Python.
  • Manage the ML lifecycle using tools like MLflow within the Databricks platform.
  • Operate within structured, compliance-driven environments to meet government security requirements.

What we're looking for

  • 3+ years of experience in data engineering or analytics engineering roles.
  • 2+ years of experience with the Databricks platform.
  • Experience in PySpark and Spark SQL.
  • Experience with Databricks clusters, jobs, 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.
  • Bachelor’s degree.

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