Spark Data Engineer

Hiring: Spark/Scala Data Engineer

Location: McLean, VA – Hybrid

Work Model: Hybrid – must be able to work onsite in McLean, VA

Duration: 12-month contract

Pay: $70/hr W2

We’re looking for an experienced Data Engineer to support a large-scale ETL modernization initiative. This role will focus on migrating legacy ETL workloads into a modern Spark/Scala-based architecture while ensuring data accuracy and consistency throughout the migration.

What You’ll Be Doing:

• Build and maintain large-scale data pipelines using Apache Spark and Scala

• Modernize legacy ETL workloads into a newer data architecture

• Support legacy-to-modern ETL migrations

• Perform data comparison, reconciliation, and validation between legacy and modern pipelines

• Identify and troubleshoot data discrepancies during migration

• Ensure migrated pipelines maintain data quality and accuracy

Must-Haves:

• Strong Data Engineering background

• Hands-on Apache Spark experience

• Strong Scala experience

• Data pipeline development experience

• ETL modernization or migration experience

• Data comparison, validation, or reconciliation experience

• Experience working with legacy-to-modern architecture migrations

• Ability to work a hybrid schedule in McLean, VA

The existing environment includes Ab Initio, but prior Ab Initio experience is NOT required.

This is a traditional Data Engineering position. AI/GenAI experience is not required.

If you’re a Senior Data Engineer with strong Spark/Scala experience and are open to a hybrid opportunity in McLean, VA, I’d love to connect.