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# Data Engineer (Snowflake & dbt)

- **Company:** Computer Task Group, Inc
- **Location:** San Antonio, TX, United States
- **Contract:** Temporary contract
- **Skills:** Big Data, Information Systems, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, IBM InfoSphere DataStage, Job Scheduling, Standard Sql, Data Processing, Snowflake, Information Technology, Data Management, Control M
- **Published:** October 27, 2026
- **Apply:** https://www.thejobnetwork.com/job/d7abbf15-3cd5-4800-90a5-e7f02351ac3e/data-engineer-snowflake-dbt

## About the Role

* Strong proficiency in Snowflake and dbt for data warehousing and transformation.
 * Experience with IBM DataStage for ETL development and data integration.
 * Knowledge of Control-M for job scheduling and workflow automation.
 * Strong SQL, data modeling, and data integration skills.
 * Excellent analytical, problem-solving, and troubleshooting abilities.

Experience:

 * Experience designing, developing, and maintaining enterprise data engineering solutions.
 * Hands-on experience with Snowflake, dbt, DataStage, and Control-M.
 * Background integrating data across platforms and optimizing large-scale data processing systems.
 * Must successfully complete a background check (BGC).

Education:

 * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field preferred, or equivalent relevant experience.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

## Description

* Design, develop, and maintain data pipelines, data warehouses, and data integration solutions.
 * Build and optimize data transformation workflows using Snowflake and dbt.
 * Integrate data from multiple sources using IBM DataStage and other data management tools.
 * Develop and maintain automated job scheduling and workflows using Control-M.
 * Ensure data quality, accuracy, reliability, and performance across enterprise data systems.
 * Troubleshoot data processing issues and implement solutions to improve efficiency and scalability.
 * Collaborate with technical teams and business stakeholders to support data and analytics requirements.