Jobs · Information Technology · North Carolina

Data Engineer

Booz Allen Hamilton · Fayetteville, NC · 1 mo ago
On-siteInformation Technology$78k–$176k/yrFull-time

Job Number: R0236980

About the role

As a data engineer at Booz Allen, you’ll help build advanced technology solutions and implement data engineering activities on some of the most mission‑driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. You’ll work with and guide a multi‑disciplinary team of analysts, data engineers, developers, and data consumers in a fast‑paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.

Responsibilities

  • Develop and maintain ETL and ELT processes from various sources, ensuring data quality and consistency across systems
  • Build data pipelines for batch and streaming workflows
  • Build and manage a data catalog, including integrating APIs and securing access using OAuth2
  • Deploy internationally for up to 90 days
  • Travel CONUS up to 25% of the time

Requirements

  • Experience with programming languages such as Python and SQL, for processing, scripting, automation, and optimization
  • TS/SCI clearance required
  • HS diploma or GED

Skills

  • Experience with Palantir Foundry
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
  • Experience with Docker and Kubernetes
  • Experience implementing CI/CD best practices
  • Bachelor's degree

Benefits

  • Health, life, disability, financial, and retirement benefits
  • Paid leave, professional development, tuition assistance, work‑life programs, dependent care
  • Recognition awards program for exceptional performance
  • Eligibility for full‑time and part‑time employees working at least 20 hours a week

Pay

The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).

Schedule

Full‑time and part‑time schedules are considered; remote, hybrid, or onsite work arrangements may apply as defined by the role.

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