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# Databricks Data Engineer and Scientist

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Bethesda, MD, United States
- **Experience:** Experienced
- **Salary:** $77,600.0 - $176,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Artificial Intelligence, Amazon Web Services, Amazon S3, Information Systems, Computer Engineering, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Cursor, Software Debugging, Digital Assets, Python (Programming Language), Metadata, Meta-Data Management, Performance Tuning, Raw Data, SQL Databases, Data Streaming, Data Logging, Data Processing, Claude Code, Caching, AWS Lambda, Amazon Relational Database Service, Data Lakes, Pyspark, Information Technology, Data Lineage, Collibra, AWS Glue, Data Analytics, Cloudwatch, Software Coding, Data Pipelines, Serverless Computing, Databricks
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/f4b22e91-6406-46f5-8cd1-d42c8b9c15b8

## About the Role

* 8+ years of experience designing, developing, deploying, and managing ETL processes and data pipelines, with comprehensive logging and error handling to troubleshoot and resolve issues
 * 3+ years of experience building, debugging, and optimizing data pipelines using Databricks notebooks, clusters, and job orchestration tools, including Delta Lake and Unity Catalog
 * 3+ years of experience writing Python and PySpark code for ETL scripts and custom transformations
 * Experience using AI-assisted coding tools such as Claude Code or Cursor to support data engineering and data modeling tasks
 * Experience with data modeling, including selecting dimensional or relational models, within a Bronze, Silver, and Gold medallion architecture
 * Experience using AWS services, including AWS Glue, Amazon S3, and Amazon RDS
 * Knowledge of ETL performance optimization techniques, such as partitioning, bucketing, and caching, and experience troubleshooting query performance
 * Ability to analyze and decompose complex legacy SQL, rebuild data pipelines or models, and compare results to validate accuracy and performance
 * Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
 * Bachelor's degree in Computer Science, Computer Engineering, Engineering, Math, Physics, or Information Systems and Technology

Nice If You Have:

 * Experience with AWS cloud-native data services such as AWS Lambda or Amazon CloudWatch that support serverless data processing
 * Experience with metadata and data cataloging tools such as AWS Glue Data Catalog or Collibra to manage data assets and lineage
 * Knowledge of data governance, data lineage, and compliance requirements such as GDPR and CCPA that support data quality, privacy, and security
 * Ability to explain complex technical concepts to non-technical audiences, including architectural tradeoffs

## Description

As a Databricks Data Engineer and Scientist, you will design, build, and maintain robust data pipelines for a critical enterprise Lakehouse, applying your data science, AI, and analytics skills. You will develop and optimize end-to-end data flows, manage ETL processes, design data models, help ensure data security and compliance, collaborate with cross-functional teams, and improve performance and scalability. Your experience with Databricks and AWS, along with your SQL, Python, and AI-assisted coding skills, will help you analyze pipelines, support data modeling, and turn raw data into actionable insights across the business.