Starburst Data Engineer-8
Role summary
This full-time Data Engineer role focuses on Starburst Data Virtualization, requiring a minimum of 10 years of experience. The position involves designing, implementing, and optimizing data virtualization solutions, ensuring data quality through reconciliation and validation, and writing complex SQL scripts. Responsibilities include analyzing business requirements, creating test plans, and automating test scripts. Preferred skills include experience with ETL/ELT tools like Informatica, and familiarity with Hadoop or Spark. Banking or payments domain knowledge is a plus. The role is based in Charlotte, NC or Plano, TX.
Charlotte, North Carolina 28105 Posted March 29th, 2026
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Job Type: Full Time
Job Category: IT
Job Description
Job Title: Starburst Data Engineer
Location – Charlotte ,NC & Plano , TX
FTE Only
Must Have Technical/Functional Skills
Primary Skill: Starburst
Secondary: Data Virtualization Engineer, Dremio, Presto, SQL Performance Tuning, Shell Scripting, Autosys
Experience: Minimum 10 years
Roles & Responsibilities
- Demonstrated expertise in Starburst Data Virtualization, including designing and implementing data virtualization solutions, optimizing query performance across distributed data sources, and integrating Starburst with enterprise data architectures.
- Analyze data mapping documents and business requirements to design comprehensive test plans and cases.
- Perform source-to-target data reconciliation, check data loading, and ensure transformation rules are applied correctly.
- Write complex SQL scripts for validation (count, data completeness, data consistency, data truncation).
- Identify, log, and track data defects using tools like JIRA or HP ALM or Octane.
- Automate test scripts and validate data volume, performance, and scalability.
- Expert-level knowledge of SQL for data analysis.
- Experience with tools such as Informatica and IDMC.
- Understanding of data warehouse concepts and architectures (e.g., star/snowflake schema).
- Familiarity with Hadoop or Spark is often preferred.
- Validate HiveQL, HDFS file structures, and data processing within the Hadoop cluster.
- Strong analytical and troubleshooting skills.
- Excellent communication for collaborating with developers and stakeholders.
Tools & Skills:
Starburst, IDMC, Informatica Power center, Hive, Kafka Knowledge
SQL, Oracle, PL/SQL
Domain: Banking knowledge, Payments knowledge preferred.
Concept: Data Virtualization, Data Warehousing, Data Transformation, ETL/ELT, Data Quality.
Required Skills
DEVOPS ENGINEER
SENIOR EMAIL SECURITY ENGINEER