Data Engineer — Spark, ETL Pipelines (Onsite DC)

Galent; Washington (District of Columbia); On-site; USD 110,000 - 140,000; Full time

Job summary

Galent, a leading IT service consulting company in Washington, DC, is seeking a Data Engineer to design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery. This onsite role focuses on building reliable ETL/ELT workflows and ensuring data quality across environments.

The ideal candidate has 2–4 years of hands-on data engineering, strong Python/SQL skills, and experience with Spark, Databricks, and CI/CD. AWS/Azure/GCP certifications are required.

Qualifications

• 2–4 years hands-on Data Engineering experience.
• Strong Python and SQL.
• Hands-on Spark / PySpark with exposure to Databricks.
• Experience building production ETL/ELT pipelines, including batch and/or streaming.
• Good understanding of data modeling, data warehousing, incremental processing, and data quality.
• Experience with Git and CI/CD (Jenkins, GitHub Actions, Azure DevOps, GitLab, or similar).
• Working understanding of the SDLC and production support.
• At least one Associate-level or higher AWS, Azure, or GCP certification.

Skills

Python

SQL

ETL/ELT

Data engineering

Data quality

SDLC

CI/CD

Education

Associate-level AWS/Azure/GCP cert

Tools

Apache Spark

PySpark

Databricks

Git

Jenkins

GitHub Actions

Azure DevOps

GitLab CI

Cloud platforms (AWS/Azure/GCP)

Job description

Galent, a leading IT service consulting company in Washington, DC, is seeking a Data Engineer to design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery. This onsite role focuses on building reliable ETL/ELT workflows and ensuring data quality across environments.

The ideal candidate has 2–4 years of hands-on data engineering, strong Python/SQL skills, and experience with Spark, Databricks, and CI/CD. AWS/Azure/GCP certifications are required.