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Booz Allen Hamilton

Senior Data Engineer

Booz Allen Hamilton

. Design, build, and maintain robust data pipelines .

Posted 9/21/2026full-timeUnited StatesSenior💰 $99,000 - $225,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in designing and developing ETL processes, managing data pipelines, and optimizing data flows using AWS technologies. Proficient in Python, PySpark, and SQL for data modeling and performance enhancement.

Highest-signal resume keywords
ETL Process DevelopmentAWS GluePython ProgrammingSQL ProficiencyData Model Design

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ETL ProcessesData Pipeline ManagementData Flow OptimizationData ModelingPerformance Optimization TechniquesQuery Performance TroubleshootingComprehensive LoggingError HandlingPythonPySpark
Soft Skills
CollaborationTeam GuidanceAnalytical Exploration
Tools & Technologies
AWS GlueAmazon S3Amazon RDSPostgreSQL
Certifications & Qualifications
Public Trust
Industry Keywords
Data SecurityComplianceScalabilityCross-Functional Teams

Tech Stack

Tools & technologies
AWSETLPostgresPySparkPythonSQL

About the role

Key responsibilities & impact
  • Design, build, and maintain robust data pipelines
  • Create and optimize end-to-end data flows
  • Handle ETL processes, including extract, transform, and load
  • Design data models
  • Ensure data security and compliance
  • Collaborate with cross-functional teams
  • Continuously improve performance and scalability
  • Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
  • Perform analytical exploration and data examination
  • Manage the assessment, design, building, and maintenance of scalable platforms for clients

Requirements

What you’ll need
  • 7+ years of experience in designing and developing ETL processes and managing data pipelines
  • Experience using AWS Glue, Amazon S3, and Amazon RDS
  • Knowledge of ETL performance optimization techniques, including partitioning, bucketing, and caching
  • Ability to troubleshoot and improve query performance
  • Ability to develop and deploy ETL processes with comprehensive logging and robust error handling
  • Proficiency in Python and PySpark for ETL scripts and custom transformations
  • Proficiency in SQL queries on PostgreSQL
  • Ability to design and implement data models, define schemas, and optimize data structures
  • Public Trust
  • Bachelor’s degree in Computer science, Computer engineering, Information systems, or technology
  • Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.

Benefits

Comp & perks
  • Health benefits
  • Life benefits
  • Disability benefits
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program for exceptional performance and superior demonstration of values