Senior Data Engineer – Databricks

Tasks

• Design and architect data solutions using Databricks, Delta Lake, Unity Catalog, and Medallion Architecture
• Lead end-to-end data engineering initiatives and provide technical leadership
• Build, optimize, and maintain scalable data pipelines using PySpark and SQL
• Develop real-time and streaming solutions using Structured Streaming and/or Delta Live Tables
• Improve platform performance, CI/CD, monitoring, and cloud cost efficiency
• Establish data governance, engineering standards, and best practices
• Mentor engineers and collaborate with business and technical stakeholders

Requirements

• 8+ years of Data Engineering experience
• 5+ years of hands-on Databricks experience in production environments
• Strong expertise in PySpark and SQL
• Experience with Unity Catalog, Terraform and/or Databricks Asset Bundles
• Experience with at least one major cloud platform
• Proven technical leadership and mentoring experience
• Strong communication skills and Agile/Scrum experience
• Preferred: Databricks Professional Certification and experience establishing engineering standards across teams.

Schedule

• Full-Time
• Remote

How to apply

• Share your updated resume by email

Location

• Washington, DC (Remote)