Data Engineer

Overview:

Role: Data Engineer

Location: San Antonio, TX (Onsite)

Employment Type: Contract

Job Description:

We are looking for a highly skilled Data Engineer to design, develop, and maintain robust data solutions using IBM Datastage , Informatica , DBT , and modern cloud platforms. The candidate will play a key role in building ETL/ELT pipelines, managing data assets, and ensuring high performance, scalability, and reliability of data systems in both on-premises (Netezza) and cloud (AWS S3, Snowflake) environments.

Key Responsibilities:

• Design, analyze, and develop ETL data assets using IBM Datastage , Informatica , or DBT .
• Build and optimize ELT transformations leveraging DBT and Python .
• Create and manage data pipelines supporting CI/CD and continuous data integration workflows.
• Collaborate with project managers and business analysts to define and document technical requirements.
• Participate in logical and physical data modeling activities to ensure accurate data mapping and integration.
• Develop, test, enhance, debug, and support data assets and applications across business units.
• Ensure data quality, consistency, and adherence to governance standards.
• Support migration initiatives between on-premises databases and cloud-based data warehouses.
• Troubleshoot performance bottlenecks, perform code reviews, and optimize data workflows.
• Implement and maintain ETL/ELT solutions using diverse development tools and environments.

Technical Skills & Tools:

• ETL/ELT Tools: IBM Datastage, Informatica, DBT
• Programming Languages: Python, SQL
• Databases: Netezza, AWS S3, Snowflake
• Data Modeling: Logical & Physical Design, Data Mapping
• CI/CD Tools: Jenkins, Git, or equivalent
• Cloud Platforms: AWS (preferred)
• Other Skills: Debugging, performance tuning, pipeline optimization

Key Skills:

ETL Development | Data Pipeline Engineering | IBM Datastage | Informatica | DBT | Netezza | Snowflake | AWS S3 | Python | SQL | Data Modeling | CI/CD | Cloud Data Integration