Mission-Driven Data Engineer: ETL, ML & AWS

Booz Allen Hamilton

McLean (VA)

Hybrid

USD 62,000 - 141,000

Full time

3 days ago
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Job summary

Booz Allen Hamilton is seeking a Data Engineer to design, implement, and optimize data pipelines across diverse data sources. You’ll work with a multi-disciplinary team to deliver scalable platforms supporting mission-driven projects, including fraud detection and intelligence applications.

The role requires 3+ years in ETL with SQL/Java/Python, experience with AWS, BigID, and ML classification, and a Secret clearance. A BS in IT and relevant architecture knowledge are preferred.

Qualifications

  • 3+ years of experience with data pipelines, including data acquisition, data tagging, and data integration.
  • 3+ years of experience in ETL development using SQL, Java, or Python.
  • 3+ years of experience processing a variety of data, including structured semi-structured and unstructured.
  • Experience with BigID.
  • Experience with AWS services.
  • Experience applying ML models for classification.
  • Secret clearance.
  • HS diploma or GED.

Responsibilities

  • Build and maintain data pipelines and platforms for clients.
  • Guide a multi-disciplinary team of analysts, data engineers, and developers.
  • Collaborate in an agile environment to design, build, and deploy scalable data solutions.
  • Support real-time data processing and streaming applications where applicable.

Skills

Data pipelines
ETL development
SQL
Java
Python
BigID
AWS
ML classification
Security clearance

Education

HS diploma or GED
Bachelor's degree in IT

Tools

Databricks
Terraform
Ansible
AWS services

Job description

Booz Allen Hamilton is seeking a Data Engineer to design, implement, and optimize data pipelines across diverse data sources. You’ll work with a multi-disciplinary team to deliver scalable platforms supporting mission-driven projects, including fraud detection and intelligence applications.

The role requires 3+ years in ETL with SQL/Java/Python, experience with AWS, BigID, and ML classification, and a Secret clearance. A BS in IT and relevant architecture knowledge are preferred.

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