Databricks Data Engineer, Data Scientist

Booz Allen Hamilton

. Design, build, and maintain robust data pipelines for a critical enterprise Lakehouse .

Posted 10/26/2026full-timeUnited StatesSeniorLead💰 $77,600 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing ETL processes and data pipelines, utilizing tools such as Databricks and AWS. Proficient in data modeling and ensuring data security and compliance while collaborating with cross-functional teams.

Highest-signal resume keywords

ETL Process ManagementDatabricks DevelopmentPython and PySpark CodingData Modeling in Medallion ArchitectureAWS Services Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL ProcessesData PipelinesData ModelingSQLPythonPySparkDatabricksAWS GlueAmazon S3Delta Lake

Soft Skills

CollaborationProblem-SolvingCommunication

Tools & Technologies

Databricks NotebooksJob Orchestration ToolsAWS LambdaAmazon CloudWatchAWS Glue Data Catalog

Industry Keywords

Data GovernanceData LineageGDPRCCPAPublic Trust

Tech Stack

Tools & technologies

AWSETLPySparkPythonSQLUnity

About the role

Key responsibilities & impact

Design, build, and maintain robust data pipelines for a critical enterprise Lakehouse
Develop and optimize end-to-end data flows
Manage ETL processes
Design data models, including dimensional or relational models
Help ensure data security and compliance
Collaborate with cross-functional teams
Improve data pipeline performance and scalability
Analyze pipelines and support data modeling
Use data science, AI, analytics, SQL, Python, Databricks, and AWS to turn raw data into actionable insights across the business
Use comprehensive logging and error handling to troubleshoot and resolve issues
Rebuild legacy data pipelines or models and compare results to validate accuracy and performance

Requirements

What you’ll need

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, 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
Experience with data modeling within a Bronze, Silver, and Gold medallion architecture
Experience using AWS Glue, Amazon S3, and Amazon RDS
Knowledge of ETL performance optimization techniques, including partitioning, bucketing, and caching
Experience troubleshooting query performance
Ability to analyze and decompose complex legacy SQL
Ability to 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
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client
Experience with AWS Lambda or Amazon CloudWatch
Experience with AWS Glue Data Catalog or Collibra
Knowledge of data governance, data lineage, GDPR, and CCPA
Ability to explain complex technical concepts to non-technical audiences

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program
Identity verification process using advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud