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.
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