Databrick Engineer

Booz Allen Hamilton

Quick summary

Work type: On-site
Location: Fort Meade, MD
Salary: $77,600–$176,000 / yr
Posted: 3 days ago
Closes: Aug 30, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k

This role $127k

$63k most similar roles pay here $212k

This role pays less than 63% of similar roles. Most pay $126,800–$197,925 — the shaded band above. At the midpoint, this role pays about $127k versus about $162k 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 670 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 657 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Databrick Engineer

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As a mid-level Data Engineer on the Databricks platform at Booz Allen, you will support mission-critical data initiatives for defense and intelligence clients by designing, building, and maintaining scalable data pipelines in cloud environments. Your daily tasks include managing clusters, creating policies, handling library dependencies, and configuring RBAC to ensure secure and efficient data processing. You will work with Databricks, Delta Lake, PySpark, and Python to transform raw data into actionable insights for complex national security challenges. The role requires a solid understanding of identity management, workspace policies, and the ability to respond promptly to support requests. Preferred candidates have experience with IaC platforms like Terraform, Databricks CLI, and REST APIs, as well as expertise in ETL development, medallion architecture, and Spark performance tuning.

Skills

Databricks Python Pyspark SQL Terraform Databricks_CLI REST_APIs RBAC Spark_SQL Delta_Lake Infrastructure_as_Code Medallion_architecture ETL CI/CD

What you'll do

Design, build, and maintain scalable data pipelines using the Databricks platform.
Create and enforce cluster usage policies and manage library dependencies in cloud environments.
Configure Role-Based Access Control (RBAC) for users and Service Principals within Databricks.
Implement workspace policies and organizational standards to ensure compliance.
Respond promptly to support requests related to login issues and user inquiries.

What we're looking for

2+ years of experience with the Databricks platform, including compute and resource management.
Proficient in Python, PySpark, and SQL for data engineering tasks.
Experience creating and enforcing cluster usage policies and managing library dependencies.
Knowledge of tiered name spacing and configuring Role-Based Access Control (RBAC).
Ability to implement workspace policies and respond to user support requests promptly.
Secret clearance required.
HS diploma or GED.

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