Junior Data Engineer — Build Scalable ETL/Data Pipelines

Galent; Washington (District of Columbia); On-site; USD 75,000 - 95,000; Full time

Job summary

Galent is looking for a Junior Data Engineer to join our Washington, DC onsite team. The role requires 1-3 years of hands-on data engineering, strong Python/SQL/Spark skills, and experience with ETL/ELT, data modeling, CDC, streaming, governance, and performance optimization. Git, CI/CD, automated testing, and deployment experience are important.

Public Trust clearance is required or obtainable. As an Equal Opportunity Employer, Galent offers opportunities for growth in a fast-paced AI-native

Qualifications

• 1-3 years of hands-on Data Engineering experience.
• Advanced Python, SQL, and Spark/PySpark with some exposure to Databricks.
• Strong knowledge of ETL/ELT, data modeling, CDC, streaming, governance, and performance optimization.
• Experience with Git, CI/CD, automated testing, and deployment strategies.
• Experience contributing to solution design and architectural decisions.
• Experience leading technical implementation activities and/or mentoring engineers.

Skills

Python

SQL

Spark/PySpark

Databricks

ETL/ELT

Data modeling

CDC

Streaming

Governance

Performance optimization

Git

CI/CD

Automated testing

Deployment strategies

Solution design

Architectural decisions

Mentoring engineers

Tools

Terraform

Job description

Galent is looking for a Junior Data Engineer to join our Washington, DC onsite team. The role requires 1-3 years of hands-on data engineering, strong Python/SQL/Spark skills, and experience with ETL/ELT, data modeling, CDC, streaming, governance, and performance optimization. Git, CI/CD, automated testing, and deployment experience are important.

Public Trust clearance is required or obtainable. As an Equal Opportunity Employer, Galent offers opportunities for growth in a fast-paced AI-native