TIAA Data Engineering Job Alerts 2026 – Apply Soon!

About the Role

As an Analyst – Data Engineering at TIAA, you will be responsible for driving optimized solutions within known constraints, working closely with project managers to deliver results. Your expertise in cloud storage services, ETL/ELT workflows, and data warehousing solutions will be crucial in this role.

Key Responsibilities

• Interact with project managers to drive optimized solutions within known constraints.
• Develop in-depth understanding of cloud storage services such as EBS, Amazon S3, EFS, etc.
• Integrate cloud applications and require knowledge of APIs, pre-scripting, post-scripting, and integration testing.
• Build ETL/ELT workflows and optimize data warehousing solutions.
• Leverage cloud storage services (S3, Snowflake stages) to enhance data management.
• Collaborate with project managers to deliver optimized solutions within constraints.
• Stay updated on the latest trends and technologies in data engineering and cloud computing.

Skills & Qualifications

• Good knowledge of AWS, Snowflake, Python, and SQL.
• Glue experience and understanding of cloud architecture (AWS/Azure/GCP).
• University degree in a relevant field (e.g., computer science, engineering).
• No prior work experience required, but a strong foundation in data engineering and cloud computing is essential.
• Knowledge of Salesforce and data cloud is an added advantage.
• Familiarity with ETL/ELT workflows and data warehousing solutions.
• Experience with cloud storage services (S3, Snowflake stages).

What You'll Learn

In this role, you will have the opportunity to learn and grow in the field of data engineering, working with cutting-edge technologies and collaborating with experienced professionals. You will develop a strong understanding of cloud storage services, ETL/ELT workflows, and data warehousing solutions, and gain hands-on experience in integrating cloud applications and testing APIs.

Resume Tip

When applying for this role, make sure to highlight your skills and experience in data engineering and cloud computing. Emphasize your knowledge of AWS, Snowflake, Python, and SQL, as well as your understanding of cloud architecture and ETL/ELT workflows. Use specific examples to demonstrate your expertise and show how you can contribute to the team's success.