Data Engineer

Mayo Clinic•Rochester, MN

4h•Remote

About The Position

We are seeking a skilled Data Engineer to join our Advanced Data Lake (ADL) team, responsible for building and optimizing data solutions that power innovation, analytics, and machine learning across the enterprise. This role is critical to enabling scalable, secure, and high-performance data platforms supporting Mayo Clinic’s digital transformation. Key Responsibilities • Design, develop, and maintain data pipelines for ingestion, transformation, and integration of large-scale datasets. • Build and optimize data models to support advanced analytics and machine learning applications. • Collaborate with product teams and stakeholders to deliver data solutions aligned with ADL architecture. • Ensure data quality, security, and compliance throughout all processes. • Implement automation and monitoring for data workflows to improve reliability and performance. • Support cloud-based data platforms, primarily Google Cloud Platform (GCP), and integrate with enterprise systems. Core job duties include: • Assemble large, complex data sets that meet functional / non-functional business requirements. • Build processes supporting data transformation, data structures, metadata, dependency and workload management. • Apply a strong knowledge of SQL to efficently process large volumes of data and troubleshoot SQL queries • Proactively identify improvement opportunities (error detection, error correction, root cause analysis) • Build automation to aid in verification and testing of data •Effectively participate in multiple, concurrent projects • Research new and existing data sources in order to contribute to new development, improve data management processes, and make recommendations for data quality initiatives. • Perform periodic data quality reviews for internal and external data. • Ensure timely resolution of queries and data issues. • Work with data and analytics experts to strive for greater functionality in our data systems. This is a full time, remote position within the United States. Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.

Requirements

Knowledge of SQL

Responsibilities

Design, develop, and maintain data pipelines for ingestion, transformation, and integration of large-scale datasets.
Build and optimize data models to support advanced analytics and machine learning applications.
Collaborate with product teams and stakeholders to deliver data solutions aligned with ADL architecture.
Ensure data quality, security, and compliance throughout all processes.
Implement automation and monitoring for data workflows to improve reliability and performance.
Support cloud-based data platforms, primarily Google Cloud Platform (GCP), and integrate with enterprise systems.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Apply a strong knowledge of SQL to efficently process large volumes of data and troubleshoot SQL queries
Proactively identify improvement opportunities (error detection, error correction, root cause analysis)
Build automation to aid in verification and testing of data
Effectively participate in multiple, concurrent projects
Research new and existing data sources in order to contribute to new development, improve data management processes, and make recommendations for data quality initiatives.
Perform periodic data quality reviews for internal and external data.
Ensure timely resolution of queries and data issues.
Work with data and analytics experts to strive for greater functionality in our data systems.