Staff Data Engineer

Job Summary

Owning a critical portion of the Databricks platform, the full-time Staff Data Engineer will design, build, and maintain scalable data solutions while driving technical decisions and mentoring engineers in a fully remote environment.

Key Responsibilities:

• Design, build, and maintain production-grade data pipelines in Databricks
• Develop scalable data models and architecture to support multiple products and business needs
• Lead migration efforts from legacy systems to a unified Databricks Lakehouse platform

Required Qualifications:

• 5+ years of data engineering experience with end-to-end ownership of data solutions
• Strong skills in SQL, Python, and PySpark
• Hands-on experience with Databricks (Delta Lake, Workflows, Databricks SQL)
• Experience building and operating large-scale ETL/ELT pipelines
• AWS experience (S3, IAM, VPC) and familiarity with Infrastructure as Code (Terraform preferred)