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Data Engineer

Bizoforce - The Innovation Platform Accelerating Digital Solutions for Enterprises · Washington DC-Baltimore Area

📅 20/08/2026
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Role: Data Engineer - Databricks Location: Washington, DC Metro Area Duration: Long-Term (W2) USC (Does not require Sponsorship) 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. 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. How the role works 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. What we offer 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 What we offer 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 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 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. 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
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