Data Engineer
Job Description
Role: Data Engineer - Databricks
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Location: Washington, DC Metro Area
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Duration: Long-Term (W2)
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USC (Does not require Sponsorship)
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Experienced data engineers to join a large-scale Databricks platform build supporting federal government programs in the Washington, DC area. Our client is one of the world’s largest technology and consulting firms.
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This is not a bootcamp and it is not unpaid. You join as a full-time W-2 employee with full benefits on day one. We invest in ten weeks of full-time Databricks specialization at our cost, cover your certification exams, and then deploy you to the client engagement.
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How the role works
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- Weeks 1-10: full-time paid Databricks training, delivered remotely. You are a paid, full-time Revature 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. Revature covers the exam costs.
- On completion you deploy on-site with the client in the DC metro area. You remain a full-time Revature employee, working as part of the client team.
- 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.
- Training is expected to begin in late September 2026, with deployment around December 2026.
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What we offer
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- Competitive pay from day one of training. Compensation is discussed early in the process.
- Medical, dental, and vision coverage
- 401(k) with company match
- Paid time off and paid holidays
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All Databricks training and certification costs covered
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What we offer
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- Competitive pay from day one of training. Compensation is discussed early in the process.
- 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
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What you need
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- 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 GCP 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.
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Nice to have
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- Delta Lake or Lakehouse experience
- Snowflake, Redshift, Synapse, or BigQuery experience
- Docker or Kubernetes exposure
- Working knowledge of Terraform or infrastructure as code
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