Data Engineer with Starburst & ThoughtSpot

Job Role: Data Engineer with Starburst & ThoughtSpot Location: Pennington, NJ(Onsite) Job Type: Longterm Contract Job Description: We are seeking an experienced Data Engineer with ThoughtSpot with strong expertise in Starburst (Trino/Presto) to design, develop, and optimize federated data solutions for enterprise analytics. The ideal candidate will integrate diverse data sources, build interactive ThoughtSpot dashboards, and ensure high-performance, scalable, and governed analytics environments. Key Responsibilities: • Develop, maintain, and optimize federated data queries using Starburst (Trino/Presto). • Build, configure, and maintain ThoughtSpot Liveboards, worksheets, and dashboards to deliver business insights. • Integrate multiple data sources (Oracle, Snowflake, Redshift, S3, etc.) through Starburst to provide a unified analytics layer. • Collaborate with data engineers, analysts, and architects to design scalable data pipelines and semantic models. • Ensure data quality, consistency, and governance across all analytics platforms. • Troubleshoot query performance, data integration, and system optimization issues. • Document data models, integration workflows, and dashboard development processes. • Train and support business users in leveraging ThoughtSpot for self-service analytics. Required Skills & Experience: • 5+ years of experience in data analytics, BI, or data engineering roles. • Hands-on expertise with ThoughtSpot development (Liveboards, worksheets, formulas, joins). • Strong experience in Starburst / Trino / Presto for federated query development. • Proven ability to integrate heterogeneous data sources (Snowflake, Oracle, Redshift, S3, etc.). • Solid understanding of SQL, data modeling, and query optimization. • Experience with data governance and metadata management principles. • Excellent problem-solving, collaboration, and communication skills. Preferred Qualifications: • Experience in cloud data ecosystems (AWS, Azure, or GCP). • Familiarity with Python or ETL tools for data integration automation. • Prior experience in self-service analytics enablement and user training.