Excelon Solutions
Data Engineer with Starburst & ThoughtSpot
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract Data Engineer position in Pennington, NJ, requiring 5+ years of experience, expertise in Starburst and ThoughtSpot, and skills in SQL, data integration, and governance. Cloud experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 23, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Pennington, NJ
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🧠 - Skills detailed
#Data Integration #"ETL (Extract #Transform #Load)" #Data Management #Data Quality #Azure #Data Pipeline #BI (Business Intelligence) #Data Governance #Snowflake #ThoughtSpot #Semantic Models #Data Modeling #Data Engineering #Metadata #Cloud #Python #Oracle #Redshift #Scala #S3 (Amazon Simple Storage Service) #Trino #SQL (Structured Query Language) #Presto #Automation #GCP (Google Cloud Platform) #AWS (Amazon Web Services)
Role description
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.
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.
