Senior Data Engineer — Scalable Pipelines & Cloud Data

Booz Allen Hamilton

Fort Belvoir (VA)

On-site

USD 78,000 - 176,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
Life insurance
Disability benefits
Retirement benefits
Paid leave
Tuition assistance
Professional development
Work-life programs
Dependent care

Job summary

Booz Allen Hamilton is seeking a Data Engineer at Fort Belvoir, VA to design and build scalable data platforms powering critical outcomes. You will work with analysts, AI engineers, and stakeholders in a fast-paced agile environment, leading technical efforts and mentoring teammates.

The role involves moving data from on-prem to cloud, implementing CI/CD, and applying data governance and modeling best practices to support enterprise solutions.

Qualifications

  • 2+ years of experience as a data engineer in enterprise systems.
  • Proficient Python for data processing and engineering use cases.
  • Experience moving data from on-prem to cloud and automating development workflows.

Responsibilities

  • Design, build, and maintain scalable data pipelines and platforms.
  • Develop secure, efficient Python for data processing and warehousing.
  • Migrate data from on-premises to cloud environments.
  • Implement CI/CD pipelines to automate build, test, and deployment.
  • Develop SQL scripts and data transformations.
  • Apply data modeling best practices and governance.

Skills

Python for data engineering
SQL and stored procedures
Data modeling
CI/CD practices
Data governance & tagging
Cloud data platforms
Independent work

Education

HS diploma or GED

Tools

Cloud environments (AWS/Azure/GCP)

Job description

Booz Allen Hamilton is seeking a Data Engineer at Fort Belvoir, VA to design and build scalable data platforms powering critical outcomes. You will work with analysts, AI engineers, and stakeholders in a fast-paced agile environment, leading technical efforts and mentoring teammates.

The role involves moving data from on-prem to cloud, implementing CI/CD, and applying data governance and modeling best practices to support enterprise solutions.

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