Data Engineer

Mayo Clinic

RemotePosted July 29, 2026

About the role

Data Engineer at Mayo Clinic. Location: Rochester, Minnesota. Remote work is available (Remote OK).

Overview: The Data Engineer will access data across the organization and provide ongoing analysis of data by monitoring, profiling, and analyzing databases. The role combines functional, data, and technical skills to translate business requirements into information needs and implement them using data. The engineer will expand and optimize data architecture, improve data flow and collection for cross-functional teams, and support software developers, database architects, data analysts, and data scientists on data initiatives to ensure consistent data delivery across projects.

Data Engineer

Mayo Clinic

RemotePosted July 29, 2026

About the role

Data Engineer at Mayo Clinic. Location: Rochester, Minnesota. Remote work is available (Remote OK).

Overview: The Data Engineer will access data across the organization and provide ongoing analysis of data by monitoring, profiling, and analyzing databases. The role combines functional, data, and technical skills to translate business requirements into information needs and implement them using data. The engineer will expand and optimize data architecture, improve data flow and collection for cross-functional teams, and support software developers, database architects, data analysts, and data scientists on data initiatives to ensure consistent data delivery across projects.

Responsibilities

Assemble large, complex data sets to meet functional and non-functional business requirements.
Write and optimize SQL queries; identify data sets across multiple joins; assist with data mining as needed.
Perform complex data analyses and investigations to explain results and provide recommendations.
Apply data modeling concepts; contribute to ETL verification, testing, and data quality initiatives.
Build and maintain processes for data transformation, metadata management, dependency and workload management.
Manipulate, process, and extract value from large datasets; continuously improve data solutions to meet business needs.
Collaborate with software developers, data analysts, and data scientists on data initiatives to ensure consistent data delivery across projects.
Research new data sources and opportunities to enhance data management and data quality.
Ensure timely

Responsibilities

Assemble large, complex data sets to meet functional and non-functional business requirements.
Write and optimize SQL queries; identify data sets across multiple joins; assist with data mining as needed.
Perform complex data analyses and investigations to explain results and provide recommendations.
Apply data modeling concepts; contribute to ETL verification, testing, and data quality initiatives.
Build and maintain processes for data transformation, metadata management, dependency and workload management.
Manipulate, process, and extract value from large datasets; continuously improve data solutions to meet business needs.
Collaborate with software developers, data analysts, and data scientists on data initiatives to ensure consistent data delivery across projects.
Research new data sources and opportunities to enhance data management and data quality.
Ensure timely

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