Senior Data Engineer

The Role:

We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The ideal candidate should have strong hands-on expertise in Snowflake, modern data pipeline development, cloud platforms, version-controlled development practices, and AI-enabled data solutions.

Key Responsibilities:

• Design, build, and maintain end-to-end data pipelines with Snowflake as the primary data warehouse.

• Implement and support Medallion Architecture within Snowflake for structured and scalable data management.

• Develop data ingestion pipelines using Python and/or Informatica to load data into Snowflake.

• Build scalable and efficient data models and transformation logic within Snowflake.

• Leverage Snowflake AI/ML capabilities (e.g., Snowflake Cortex, AI functions, or LLM integrations where applicable) to enable advanced analytics, automation, and >

  Base Salary Compensation Range

  $90,489.00-132,711.00

  Incentive Target Percentage

  12.5% Annual

  Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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