Data Engineer II , UTR Data Engineering

What you'll do

• Design data models and build, optimize, and maintain ETL pipelines and configuration-driven data frameworks.
• Develop AI-agent tools and MCP interfaces for natural-language SQL generation, configuration validation, data quality, and pipeline operations.
• Establish data quality, monitoring, and engineering standards; collaborate with partner teams and mentor engineers.

What they ask for

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• 1+ years of experience developing and operating large-scale BI data structures using ETL/ELT, OLAP technologies, data modeling, SQL, and Oracle.

Nice to have

• Experience with AWS technologies, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
• Experience with non-relational databases or data stores.

Pay

132,100.00 - 178,800.00 USD annually (base salary)

Tools

AWS, Redshift, S3, EMR, Glue, Lambda, Athena, Python

AI focus

Design AI-powered, configuration-driven data frameworks and agent tooling, including MCP-based natural-language interfaces for SQL generation, validation, data quality, and pipeline operations.