Remote Data Engineer - AWS GovCloud & Big Data

General Dynamics Information Technology, Inc.

Falls Church (VA)

On-site

USD 130,000 - 150,000

Full time

14 days+
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Benefits offered by this job

401K with company match
Paid time off
Flexible work weeks
Medical plan options

Job summary

General Dynamics Information Technology, Inc. seeks a Data Engineer to support mission-critical government programs by designing, building, and operating scalable data architectures in AWS GovCloud.

You will collaborate with data scientists, architects, and engineers to transform data into insights and ensure secure, reliable data delivery. The role requires a Secret clearance, 10+ years in data engineering, and experience with ETL, SQL, and cloud data services.

Qualifications

  • Experience with data warehousing concepts, ETL processes and Pentaho.
  • Developing and administrating PostgreSQL or similar databases.
  • Strong SQL and data modeling skills; cloud data services experience.

Responsibilities

  • Design, build, deploy, and maintain data architectures and databases in AWS GovCloud.
  • Develop scalable data pipelines and API integrations; ensure security and repeatability.
  • Implement data governance, ETL/ELT monitoring, and performance optimization.
  • Collaborate with data scientists, architects, and stakeholders on data requirements.
  • Transform and migrate data from on-premises to cloud-based solutions.

Skills

Data engineering
SQL
ETL
AWS
Big data
Python
Java
Spark
Hadoop
Security

Education

Bachelor's degree in a related field

Tools

Pentaho
PostgreSQL
GitLab
Liquibase
CI/CD
AWS RDS
Aurora
RedShift

Job description

General Dynamics Information Technology, Inc. seeks a Data Engineer to support mission-critical government programs by designing, building, and operating scalable data architectures in AWS GovCloud.

You will collaborate with data scientists, architects, and engineers to transform data into insights and ensure secure, reliable data delivery. The role requires a Secret clearance, 10+ years in data engineering, and experience with ETL, SQL, and cloud data services.

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