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# Databricks Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Bethesda, MD, United States
- **Experience:** Experienced
- **Salary:** $62,000.0 - $141,000.0
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Data as a Services, Data Architecture, Information Engineering, Data Governance, Apache Hive, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Software Engineering, Data Streaming, Systems Integration, Datadog, Cloud Platform System, Data Lakes, Pyspark, Machine Learning Operations, Databricks
- **Published:** July 2, 2026
- **Apply:** https://justjobs.com/main/sendform/8/8/28176/1/16300980?backUrl=%2Fcareer%2F16300980%2FDatabricks-Engineer-Maryland-Bethesda

## About the Role

* 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 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 structured, compliance-driven government environments
 * Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
 * Bachelor's degree

Nice If You Have:

 * Experience supporting federal government or regulated industry programs
 * Experience implementing ML or AI solutions in Databricks, including MLflow-based lifecycle management
 * Knowledge of streaming frameworks, data quality frameworks, or observability tooling
 * Databricks or Cloud Platform Certification

## Description

We are seeking a hands-on Databricks Engineer to design, build, and operate scalable data and analytics solutions supporting government mission needs. This role requires strong practical experience with core Databricks platform capabilities, modern data architecture patterns, and disciplined software engineering practices within regulated SDLC environments. In this role, you will apply AI-enabled analytics and machine learning techniques to solve real-world operational and decision-support problems.


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