Only W Data Engineer Starburst

Job Title: Data Engineer Starburst

Location: Johnston, RI (Onsite)

Years of Experience: 12 Years

Job Summary:

We are seeking a Starburst Resource to support our ongoing QA/QC data initiative. This role will focus on configuring, optimizing, and maintaining Starburst-based federated

Job Description:

• Configure and administer Starburst clusters for federated querying across AWS Redshift and Snowflake.
• Set up and manage Starburst connectors for Redshift and Snowflake, ensuring secure and performant connectivity between both platforms.
• Design and optimize SQL queries to support QA/QC data validation, cross-platform reconciliation, and data comparison workflows.
• Collaborate with QA/QC and data governance teams to define validation rules, reconciliation logic, and exception reporting across Redshift and Snowflake datasets.
• Monitor query performance across federated sources, troubleshoot connector/cluster issues, and tune Starburst for optimal throughput.
• Manage access control, security configuration, and catalog/schema setup for both Redshift and Snowflake connectors within Starburst.
• Document architecture, connector configurations, and best practices for federated querying across the two platforms.
• Partner with data engineering and platform teams to ensure the Starburst deployment aligns with broader enterprise data architecture standards.

Required Skills & Experience:

• 3+ years of hands-on experience with Starburst.
• Direct experience configuring Starburst connectors for both AWS Redshift and Snowflake.
• Strong SQL skills, with experience in federated/distributed query environments.
• Strong AWS skills, including Redshift, IAM, and networking/VPC configuration for connector setup.
• Familiarity with data quality, reconciliation, or QA/QC frameworks in an enterprise data environment.
• Understanding of connector configuration, catalog management, and cluster performance tuning in Starburst.
• Ability to collaborate with cross-functional data governance and QA teams.

Preferred Qualifications:

• Experience in banking/financial services data environments.
• Familiarity with data governance and metadata management tools.
• Starburst certification, or equivalent hands-on project experience with multi-source federation.