Data Engineer (DataStage / Snowflake)

Computer Task Group, IncSan Antonio, TX
Onsite

About The Position

CTG is seeking an experienced Data Engineer (DataStage / Snowflake) to support enterprise data integration and analytics initiatives. This role is ideal for a hands-on data professional with strong expertise in IBM DataStage, Snowflake, SQL, and Unix scripting who enjoys building scalable data pipelines and optimizing enterprise data platforms. Experience working in insurance environments is a plus.

Requirements

  • Strong hands-on experience with IBM DataStage ETL development.
  • Experience developing solutions within Snowflake.
  • Advanced SQL development and query optimization skills.
  • Proficiency with Unix and Shell scripting.
  • Experience with enterprise scheduling tools such as Control-M.
  • Working knowledge of DB2 and Netezza databases.
  • Strong understanding of data warehousing concepts and ETL best practices.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

  • Insurance industry experience is a plus.
  • 5+ years of experience as a Data Engineer, ETL Developer, or related role.
  • Experience designing and supporting enterprise data warehouse solutions.
  • Proven ability to work with large-scale, mission-critical data environments.
  • Experience with production support, performance tuning, and data pipeline optimization.

Responsibilities

  • Design, develop, and maintain ETL/ELT processes using IBM DataStage and Snowflake.
  • Build scalable, high-performance data pipelines supporting enterprise reporting and analytics.
  • Develop and optimize SQL queries, stored procedures, and data transformation logic.
  • Create and maintain Unix Shell scripts to automate data processing workflows.
  • Schedule, monitor, and troubleshoot batch jobs using Control-M and Snowflake scheduling capabilities.
  • Integrate data from multiple enterprise systems while ensuring data quality, consistency, and accuracy.
  • Optimize performance across Snowflake, DB2, and Netezza databases.
  • Troubleshoot production issues and implement long-term solutions for ETL and data integration processes.
  • Collaborate with business analysts, architects, and development teams to deliver enterprise data solutions.
  • Maintain technical documentation and support ongoing enhancements to the data platform.
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