Data Engineer (Databricks)

Role: Data Engineer - Databricks

Location: Washington, DC Metro Area

Duration: Long-Term Full-Time (W2)

(Does not require Sponsorship)

How the role works

• You are a paid, full-time employee with full benefits throughout. No cost to you and no repayment obligation.
• You earn the Databricks Certified Data Engineer Associate and Professional certifications during the program.
• 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.

What we offer

• Medical, dental, and vision coverage
• 401(k) with company match
• Paid time off and paid holidays
• All Databricks training and certification costs covered by Revature

What you need

• 2-7 years of hands-on data engineering experience
• Experience delivering multiple production-grade cloud data platform implementations
• Advanced Python, SQL, and Spark/PySpark with some exposure to Databricks
• Strong knowledge of ETL/ELT, data modeling, change data capture, streaming, governance, and performance optimization
• Experience with Git, CI/CD, automated testing, and deployment strategies
• Experience contributing to solution design and architectural decisions
• Experience leading technical implementation activities and/or mentoring engineers
• At least one Associate-level or higher AWS, Azure, or Google Cloud Platform certification
• Able to work on-site in the Washington, DC metro area from the start of the client engagement, approximately December 2026. Candidates relocating to the DC area are welcome to apply.
• Must be authorized to work in the United States without restriction. This position supports a client engagement subject to a background investigation.

Nice to have

• Delta Lake or Lakehouse experience
• Snowflake, Redshift, Synapse, or BigQuery experience
• Docker or Kubernetes exposure
• Working knowledge of Terraform or infrastructure as code
• Exposure to Terraform or infrastructure as code
• Familiarity with Snowflake, Redshift, Synapse, or BigQuery
• Experience with modern cloud data platforms