Data Engineer - Databricks

Job Description

Role: Data Engineer - Databricks

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Location: Washington, DC Metro Area

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Duration: Long-Term Full-Time (W2)

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USCITIZEN (Does not require Sponsorship)

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How the role works

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• This is a long-term client engagement. Over time there may be an opportunity for the client to hire you directly. That is a possible long-term outcome, not a guaranteed or near-term one.

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What we offer

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• Medical, dental, and vision coverage

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• 401(k) with company match

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• Paid time off and paid holidays

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• All Databricks training and certification costs covered by Revature

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What you need

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• 7-10 years of hands-on data engineering experience

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• Experience delivering multiple production-grade cloud data platform implementations

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• Advanced Python, SQL, and Spark/PySpark with some exposure to Databricks

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• Strong knowledge of ETL/ELT, data modeling, change data capture, streaming, governance, and performance optimization

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• Experience with Git, CI/CD, automated testing, and deployment strategies

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• Experience contributing to solution design and architectural decisions

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• Experience leading technical implementation activities and/or mentoring engineers

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• At least one Associate-level or higher AWS, Azure, or GCP certification

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• Able to work on-site in the Washington, DC metro area from the start of the client engagement, approximately December 2026.

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• Candidates relocating to the DC area are welcome to apply.

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• Must be authorized to work in the United States without restriction.

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• This position supports a client engagement subject to a background investigation.

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Nice to have

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• Delta Lake or Lakehouse experience

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• Snowflake, Redshift, Synapse, or BigQuery experience

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• Docker or Kubernetes exposure

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• Working knowledge of Terraform or infrastructure as code

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• Exposure to Terraform or infrastructure as code

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• Familiarity with Snowflake, Redshift, Synapse, or BigQuery

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Experience with modern cloud data platforms