Senior Data Engineer/ 2 days ago
Quick Summary
Why Mayo Clinic
Mayo Clinic is recognized as a top-ranked care provider in numerous specialties by U.S. News & World Report. We prioritize patient needs while investing in our employees through competitive compensation, comprehensive benefit plans, and continuous education and advancement opportunities, ensuring a long and successful career.
Benefits Highlights
- Medical: Multiple plan options available.
- Dental: Delta Dental coverage or flexible reimbursement account.
- Vision: Affordable plan utilizing a national network.
- Pre-Tax Savings: HSA and FSAs for eligible expenses.
- Retirement: Competitive retirement package designed to secure your future.
Responsibilities
The Radiology Analytics team seeks a technically skilled and highly motivated professional to design, build, and advance the data and analytics ecosystem supporting the Department of Radiology. This critical role focuses on developing reliable, high-performance data pipelines and platforms that transform complex clinical and operational data into trusted, analytics-ready assets.
These robust datasets will support operational insights, advanced reporting, and serve as the foundation for AI and machine learning initiatives, including predictive modeling and capacity-planning use cases. Serving as a vital bridge between IT and Radiology, this position directly enhances efficiency, innovation, and patient care.
Key duties include:
- Designing, building, and operating scalable, production-grade data pipelines and integrations for analytics and machine learning solutions.
- Developing and maintaining reliable data ingestion, processing, and storage workflows using platforms like Microsoft Fabric.
- Ensuring data quality, performance, and operational stability across all workflows.
- Applying a strong understanding of enterprise data architectures and tooling, exercising independent technical judgment.
- Collaborating with data scientists, data analysts, and IT partners to engineer clinical and operational data into trusted, model-ready datasets for advanced analytics and AI development across Radiology.
Note: May be required to provide 24/7 call support.
The selection process may include an OnDemand (pre-recorded) interview and a Codility exam screening.
This vacancy is not eligible for sponsorship/visa transfer. Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.
Qualifications
A minimum of five years of professional or research experience in data visualization, data engineering, or analytical modeling techniques, combined with a Bachelor's degree in a relevant analytical/quantitative field (e.g., engineering, mathematics, computer science, information technology, health science). OR a minimum of seven years of professional or research experience in these areas with an Associate’s degree in a relevant field. In-depth business or practice knowledge will also be considered.
Required Skills & Experience:
- Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes.
- Strong analytical skills, commitment to customer service, and the ability to identify and recommend solutions.
- Excellent verbal and written communication skills, attention to detail, and high capacity for learning and problem resolution.
- Advanced experience in SQL is required.
- Strong experience in scripting languages (e.g., Python, JavaScript, PHP, C++, Java) and API integration is required.
- Experience in hybrid data processing methods (batch and streaming) such as Apache Spark, Hive, Pig, or Kafka is required.
- Experience with big data, statistics, and machine learning is required.
- Ability to navigate Linux and Windows operating systems is required.
Preferred Skills:
- Knowledge of workflow scheduling (Apache Airflow, Google Composer).
- Experience with Infrastructure as Code (Kubernetes, Docker) and CI/CD (Jenkins, Github Actions).
- Experience in DataOps/DevOps and agile methodologies.
- Experience with hybrid data virtualization such as Denodo.
- Working knowledge of Tableau, Power BI, SAS, ThoughtSpot, DASH, d3, React, Snowflake, SSIS, and Google Big Query.
License or Certification
- Google Cloud Platform (GCP) certification is preferred.
Exemption Status
Exempt
Compensation Detail
$138,257 - $200,512 / year
Benefits Eligible
Yes
Schedule
Full Time (80 Hours/Pay Period)
Schedule Details
Monday - Friday, 7AM - 5PM CST. This position is fully remote; candidates can work from anywhere in the U.S.
Weekend Schedule
N/A
International Assignment
No
Site Description
Mayo Clinic locations span major campuses in Phoenix/Scottsdale, Arizona; Jacksonville, Florida; Rochester, Minnesota; Mayo Clinic Health System campuses throughout Midwestern communities; and international locations. Learn more about what each unique Mayo Clinic campus has to offer.
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.
Recruiter
Stephanie Brackey