Senior Data Engineer

Job Description

We are seeking a Senior Data Engineer to join our growing Research Data and Digital Transformation team. In this role, you will play a critical part in building scalable, secure, and high-performance data platforms that support advanced research across biomedical, clinical, and translational domains.
You will work closely with data scientists, informaticians, software engineers, and researchers to design robust data infrastructure that enables real-time insights and longitudinal studies across Mayo Clinic's vast research ecosystem.

Key Responsibilities
Design, build, and maintain cloud-native data pipelines and infrastructure using Google Cloud Platform (Google Cloud Platform)services such as BigQuery, Cloud Dataflow, Cloud Storage, and Pub/Sub.
Integrate and normalize data from diverse sources including EHR systems, genomic data, clinical trials, imaging, and external data networks.
Optimize data modeling, partitioning, and querying strategies to support advanced analytics, AI/ML, and research workloads.
Collaborate with cross-functional teams to define data strategy, governance, and quality assurance processes.
Implement secure, compliant, and auditable data handling practices in accordance with institutional and regulatory standards.
Mentor junior engineers and contribute to a culture of technical excellence and innovation.

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.

Qualifications

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of five years of professional or research experience in data visualization, data engineering, analytical modeling techniques; OR an Associate's degree in a relevant field such as engineering, mathematics, computer science, information technology, health science, or other analytical/quantitative field and a minimum of seven years of professional or research experience in data visualization, data engineering, analytical modeling techniques. In-depth business or practice knowledge will also be considered.
Incumbent must have the ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills, time management skills, and demonstrated experience working on cross functional teams are required. Requires strong analytical skills and the ability to identify and recommend solutions and a commitment to customer service. The position requires excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution.
Advanced experience in SQL is required. Strong Experience in scripting languages such as Python, JavaScript, PHP, C++ or Java & API integration is required. Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, Kafka is required. Experience with big data, statistics, and machine learning is required. The ability to navigate linux and windows operating systems is required. Knowledge of workflow scheduling (Apache Airflow Google Composer), Infrastructure as code (Kubernetes, Docker) CI/CD (Jenkins, Github Actions) is preferred. Experience in DataOps/DevOps and agile methodologies is preferred. Experience with hybrid data virtualization such as Denodo is preferred. Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query is preferred.
Google Cloud Platform (Google Cloud Platform) certification is preferred.

Additional Preferred Qualifications:

• Master's degree in Data Engineering, Computer Science, Bioinformatics, or related discipline.
• Experience working with healthcare or research data (EHRs, HL7/FHIR, genomics).
• Familiarity with regulatory requirements related to health data (HIPAA, IRB, etc.).
• Exposure to AI/ML workflows and tools such as Vertex AI, Jupyter, or TensorFlow.

About Us

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights

• 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.

About the Team

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.