below marketmost similar roles pay hereabove market
This role pays less than
68%
of similar roles. Most pay
$126,800–$209,400
— the blue band above.
At the midpoint, this role pays about
$127k
versus about
$168k
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
1688 open roles
on FindRole.
Listed pay typically runs
$86,800–$198,000
across 904 roles with salary data.
As a Databricks Data Engineer and Scientist, you will design, build, and maintain robust data pipelines for a critical enterprise Lakehouse. You will develop end-to-end data flows, manage ETL processes, design data models, and ensure data security and compliance. Your daily work involves optimizing performance and scalability while turning raw data into actionable insights. You will utilize Databricks notebooks, clusters, Delta Lake, and Unity Catalog alongside AWS services like Glue, S3, and RDS. Technical requirements include proficiency in SQL, Python, PySpark, and AI-assisted coding tools like Claude Code or Cursor. You must be able to decompose complex legacy SQL and implement Bronze, Silver, and Gold medallion architectures. This role solves technical problems regarding data modeling, partitioning, bucketing, and caching within a complex enterprise environment.
Design, build, and maintain robust data pipelines for an enterprise Lakehouse.
Develop and optimize end-to-end data flows and ETL processes.
Design data models using Bronze, Silver, and Gold medallion architectures.
Write Python and PySpark code for ETL scripts and custom transformations.
Optimize ETL performance using partitioning, bucketing, and caching techniques.
Analyze and decompose complex legacy SQL to rebuild data pipelines and models.
Manage data security, compliance, and governance requirements.
Use AI-assisted coding tools to support data engineering and modeling tasks.
What we're looking for
8+ years of experience designing, developing, deploying, and managing ETL processes and data pipelines with comprehensive logging and error handling.
3+ years of experience building, debugging, and optimizing data pipelines using Databricks notebooks, clusters, job orchestration, 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 for data engineering and data modeling tasks.
Experience with data modeling, including dimensional or relational models, within a Bronze, Silver, and Gold medallion architecture.
Experience using AWS services, including AWS Glue, Amazon S3, and Amazon RDS.
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.