Data Engineer: Build Scalable Pipelines & Data Platforms

Booz Allen Hamilton; Bellevue (NE); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Engineer to design and deploy data pipelines, platforms, and models supporting national security missions. You will work with analysts, data scientists, developers, and data consumers in a fast-paced, agile team.

The role emphasizes building scalable data systems and enabling data-driven decision making across mission sets. Ideal candidates have experience with big data tools, data integration, and strong communication skills, plus active TS/SCI clearance.

Qualifications

• 2+ years of experience with a programming language.
• 2+ years in data pipelines, data modeling, schema, data quality, and integration.
• Ability to develop scripts and programs for converting data into usable formats.
• Experience in big data environments and communicating with non-technical stakeholders.

Responsibilities

• Drive data engineering activities on mission-driven projects for ISR efforts.
• Architect data systems and stand up data platforms.
• Build ETL pipelines and write code to interface with data stores.
• Perform data ingestion and build data models for analytics.
• Lead assessment, design, and maintenance of scalable data platforms for clients.

Skills

Programming

Data pipelines

Data modeling

Data integration

Big data

Communication

TS/SCI clearance

Education

Bachelor's degree in Computer Science or Software Development

Alternative: 3+ years experience without degree

Tools

Solr

Elasticsearch

AWS

Azure

Hadoop

Spark

Impala

Atlassian tools

Job description

Booz Allen Hamilton is seeking a Data Engineer to design and deploy data pipelines, platforms, and models supporting national security missions. You will work with analysts, data scientists, developers, and data consumers in a fast-paced, agile team.

The role emphasizes building scalable data systems and enabling data-driven decision making across mission sets. Ideal candidates have experience with big data tools, data integration, and strong communication skills, plus active TS/SCI clearance.