About this role

Design, build, and maintain data pipelines that ensure reliable data flow from source systems through transformation layers to reporting
Integrate data quality checks and validation into the pipeline workflow
Implement error handling, logging, and retry capabilities to keep pipelines robust and recoverable
Develop SQL and Python-based transformations that cleanse, enrich, and structure data for analytical use
Monitor and tune pipeline and query performance
Collaborate with your scrum team and cross-functional partners across analytics, product, and engineering

3-5 years of professional experience in data engineering or a closely related role
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field, or equivalent practical experience
Microsoft DP-700 (Fabric Data Engineer Associate) or Databricks Data Engineer Associate certification is a nice-to-have
Ability to work within Eastern Time Zone hours (8a-5p)
Preference given to candidates in and around the Charlottesville, VA area

Data Engineer

Key skills