Job Description
Hiring: Spark/Scala Data Engineer
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Location: McLean, VA – Hybrid
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Work Model: Hybrid – must be able to work onsite in McLean, VA
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Duration: 12-month contract
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Pay: $70/hr W2
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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.
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What You’ll Be Doing:
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• Build and maintain large-scale data pipelines using Apache Spark and Scala
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• Modernize legacy ETL workloads into a newer data architecture
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• Support legacy-to-modern ETL migrations
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• Perform data comparison, reconciliation, and validation between legacy and modern pipelines
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• Identify and troubleshoot data discrepancies during migration
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• Ensure migrated pipelines maintain data quality and accuracy
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Must-Haves:
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• Strong Data Engineering background
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• Hands-on Apache Spark experience
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• Strong Scala experience
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• Data pipeline development experience
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• ETL modernization or migration experience
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• Data comparison, validation, or reconciliation experience
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• Experience working with legacy-to-modern architecture migrations
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• Ability to work a hybrid schedule in McLean, VA
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The existing environment includes Ab Initio, but prior Ab Initio experience is NOT required.
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This is a traditional Data Engineering position. AI/GenAI experience is not required.
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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.