Data Engineer - Research Business Intelligence

Mayo Clinic • Rochester, MN

5h

About The Position

The Data Engineer develops and maintains scalable, reliable data pipelines and systems that ensure data is organized, consistent, and accessible across the organization. This role requires a strong understanding of how data moves between systems and the ability to translate business needs into durable, well-structured data solutions. The Data Engineer integrates data from a variety of cloud and on-premise sources to ingest, combine, and harmonize data within a centralized data platform. They are responsible for bringing together and structuring data from multiple systems into well-organized, dependable datasets that support reporting, analysis, and operational needs at scale. The ideal candidate is a thoughtful problem solver who is comfortable working with complex data, building solutions that perform reliably over time, and collaborating with both technical and business teams.

Requirements

• Strong understanding of how data moves between systems
• Ability to translate business needs into durable, well-structured data solutions
• Experience integrating data from a variety of cloud and on-premise sources
• Ability to ingest, combine, and harmonize data within a centralized data platform
• Thoughtful problem solver
• Comfortable working with complex data
• Ability to build solutions that perform reliably over time
• Ability to collaborate with both technical and business teams

Responsibilities

• Designing, building, and optimizing scalable data pipelines and robust architectures
• Partnering with visualization developers and downstream consumers to assemble and transform appropriately structured datasets (e.g., curated/raw layers to reporting-level views)
• Writing and optimizing SQL queries; identifying and analyzing data across multiple source systems and database platforms
• Developing and maintaining data models, ETL processes, and data structures
• Understanding and documenting data flows, lineage, and dependencies across systems
• Ensuring datasets include appropriate structure, documentation, and metadata to support emerging AI use cases.
• Ensuring data quality through proactive validation, monitoring, and periodic review
• Identifying opportunities to improve data processes, systems, and data sourcing

Benefits

• Competitive compensation
• Comprehensive benefit plans
• Continuing education and advancement opportunities
• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees