Data Engineer

Senior Data Engineer – Databricks
📍 Location: Washington, DC Metro Area
🏠 Training: Remote – 10 Weeks
🏢 Deployment: Onsite in Washington, DC Metro
💼 Experience: 4–7 Years
📋 Employment: Full-Time W-2
🇺🇸 Work Authorization: Must be authorized to work in the U.S. without restriction
Role Overview
We are hiring experienced Senior Data Engineers to support a large-scale Databricks platform build supporting federal government programs in the Washington, DC area.
Candidates will complete 10 weeks of paid, full-time Databricks specialization training remotely, followed by onsite deployment in the DC Metro area. Training and Databricks certification costs are covered.
Required Qualifications
4–7 years of hands-on Data Engineering experience
Experience delivering production-grade cloud data platform implementations
Advanced Python, SQL, and Spark/PySpark
Exposure to Databricks
Strong knowledge of:
ETL/ELT
Data Modeling
Change Data Capture (CDC)
Streaming
Data Governance
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
Willingness to work onsite in the Washington, DC Metro area after training
Ability to successfully complete a background investigation
Nice to Have
Delta Lake / Lakehouse experience
Snowflake, Redshift, Synapse, or BigQuery
Docker or Kubernetes
Terraform / Infrastructure as Code
Training & Deployment
10 weeks of paid remote Databricks training
Databricks Certified Data Engineer Associate and Professional certifications
Certification exam costs covered
Onsite deployment in Washington, DC Metro after training
Training expected to begin in late September 2026
Deployment expected around December 2026

Work arrangement
Yes