Principal Data Engineers at Mayo Clinic are expected to be subject matter experts in building ETL pipelines, working with heterogenous data using different technologies, and database design and optimizations. The data they work with are required to support a different analyses and applications that serve both internal and external partners. As the position requires strong data, technical, and functional skills, the right candidate must be able to understand business requirements, translate them into information needs, and implement those requirements using available data. The hire will be responsible for creating new data architecture, optimizing existing databases, designing data collection and flows for cross functional teams. The ideal candidate is an data engineer who has extensive experience working with clinical data and collaborating across diverse teams to ensure the data provided is accurate, the data pipelines reliable, and the resulting databases are fit for a variety of purposes.
The Principal Data Engineer will work with informaticists, clinicians, software engineers, and data scientists to serve as a subject matter expert in data engineering best practices and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The position will also be responsible for the management of data related projects and oversee the tasks of other team members when relevant.
Core job duties:
- Expert in data modeling concepts,
- Responsible for designing, implementing, documenting and testing databases containing clinical data.
- Leverage SQL, Python and other programming languages
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build ETL pipelines from varying data sources and technologies using cloud technologies such as Google Cloud or Microsoft Azure and implemented with Apache Airflow or similar products
- Problem solving with the initiative to think critically to identify improvement opportunities.
- Provide direction on best practices for data transformation, structure, and workflows.
- Ability to 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.
A Master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of five years of professional or research experience in data science
The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Deep expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills. Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated ability to provide consultative services at an institutional or enterprise level to departments/divisions and committees from any Mayo entity requesting assistance is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.
Preferred Experience
Advanced degree (Ph.D, M.Sc) in Computer Science, Engineering or quantitative field from an accredited University or College with 5+ years of experience. 10+ years of experience preferred.
Requirements
- Demonstrated ability to analyze and profile data as a means to address various business problems through leveraging advanced data modeling, source system databases, or data mining techniques.
- Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. data analysis, data profiling, modeling, etc.).
- Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes.
- Interpersonal skills and time management skills are required.
- Strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service.
- Experience with data analysis, quality, and profiling.
- Proficient in SQL and one other programming language commonly used in data engineering (Python, Scala, etc).
- Experience in working with one or more cloud technologies: Amazon Web Services, Google Cloud Projects, or Microsoft Azure
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.
- 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.
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.
Skills Required
- Master's degree in engineering, mathematics, computer science, health science, or another analytical or quantitative field
- At least five years of professional or research experience in data science
- Experience with data modeling, data analysis, data quality, and data profiling
- Proficiency in SQL and one other data engineering programming language, such as Python or Scala
- Experience with at least one cloud technology: AWS, Google Cloud, or Microsoft Azure
- Ability to analyze and profile data using data modeling, source system databases, or data mining techniques
- Ability to apply problem-solving, planning, continuous improvement, and analytical methodologies
- Ability to manage multiple projects and priorities independently
- Strong analytical, interpersonal, communication, consulting, organization, and time management skills
- Advanced computer application skills and commitment to customer service
- Advanced degree such as a PhD or MSc in computer science, engineering, or a quantitative field with five or more years of experience
- Bachelor's degree in computer science, engineering, or a quantitative field with ten or more years of experience
- Experience developing predictive and prescriptive models using advanced statistical modeling, machine learning, or data mining
- Experience providing institutional or enterprise-level consultative services
Mayo Clinic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mayo Clinic and has not been reviewed or approved by Mayo Clinic.
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Retirement Support — A no-cost pension plus an employer-matched 403(b)/401(k) is positioned as a standout differentiator, offering strong long-term financial security. Feedback suggests this retirement combination elevates overall total rewards even when base pay is moderate.
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Healthcare Strength — Expanded medical networks, enhanced fertility coverage, and employer absorption of a plan year’s premium increases point to robust healthcare offerings. Feedback suggests annual updates maintain breadth and competitiveness of coverage.
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Parental & Family Support — Adoption assistance, dependent scholarships, child and elder-care resources, and EAP services provide meaningful family-oriented support. Feedback suggests these programs add tangible value beyond salary alone.
Mayo Clinic Insights
What We Do
Mayo Clinic is the first and largest integrated, not-for-profit medical group practice in the world. Doctors from every medical specialty work together to care for patients, joined by common systems and a philosophy of "the needs of the patient come first." More than 3,800 physicians and scientists and 50,900 allied health staff work at Mayo Clinic, which has sites in Rochester, Minn., Jacksonville, Fla., and Scottsdale/Phoenix, Ariz. Mayo Clinic also serves over 70 communities through Mayo Clinic Health System with locations in MN, IA, and WI. Collectively, these locations care for more than 1 million people each year.
