Senior Data Engineer: Build Scalable ETL Pipelines (AWS)

Emploive; Washington, Northern (District of Columbia, KY); Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen is seeking a Senior Data Engineer to design, build, and maintain robust data pipelines. You will optimize end-to-end data flows, handle ETL processes, and design scalable data models for secure, compliant analytics.

You'll guide a multidisciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, delivering data-driven insights for clients.

Qualifications

• 7+ years designing and developing ETL processes and data pipelines.
• Experience with AWS Glue, S3, and RDS.
• Knowledge of partitioning, bucketing, and caching for ETL performance.
• Ability to troubleshoot and improve query performance.
• Proficiency in Python and PySpark for ETL scripts.
• SQL querying on PostgreSQL databases.
• Data modeling, schemas, and structures for analytics.

Responsibilities

• Design, build, and maintain robust data pipelines.
• Optimize end-to-end data flows and ETL processes.
• Bridge raw data to actionable insights for analytics.
• Collaborate with analysts, developers, and data consumers in agile environments.

Skills

ETL design

AWS services

Python

PySpark

SQL

PostgreSQL

Data modeling

Data security

Performance optimization

Logging & debugging

Education

Bachelor's degree in CS/CE/IS/Tech

Tools

AWS Glue

Amazon S3

Amazon RDS

Apache Atlas

Collibra

AWS Glue Data Catalog

Job description

Booz Allen is seeking a Senior Data Engineer to design, build, and maintain robust data pipelines. You will optimize end-to-end data flows, handle ETL processes, and design scalable data models for secure, compliant analytics.

You'll guide a multidisciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment, delivering data-driven insights for clients.