Principal Data Engineer - AI Program

Principal Data Engineer

• AI Program Mayo Clinic
• 3.8 Rochester, MN Job Details Full-time $155,500.80
• $225,492.

80 a year 7 hours ago Benefits Health savings account Health insurance Dental insurance Flexible spending account Vision insurance Opportunities for advancement Qualifications Statistics Nursing Power BI 7 years Data visualization software proficiency Data Integration (Data management) Machine learning/AI-based analysis Bachelor's degree in information technology Computer Science Cloud data warehouses React D3.js SAS Customer service Associate's degree in computer science Infrastructure as Code (IaC) Engineering Spark GitHub Actions Data analysis skills Mathematics Apache Hive Research Windows Tableau Snowflake Java SQL PHP Bachelor's degree in health sciences Analysis skills C++ Spark implementation Bachelor's degree in engineering Docker Associate's degree in information technology Apache Pig Implementing APIs Organizational skills Agile software development Associate's degree in engineering Linux Kafka SSIS Bachelor's degree in mathematics Senior level AI Batch data processing Cross-functional collaboration Associate's degree Associate Degree in Nursing Bachelor's degree in computer science Leadership BigQuery Communication skills Python Time management Information Technology Database software proficiency Full Job Description CityRochester StateMN RemoteNO DepartmentInformation Technology 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. Responsibilities Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various open-source programming languages and vended software to meet the desired design functionality for products and programs. The position requires maintaining an understanding of the organization's current solutions, coding languages, tools, and regularly requires the application of independent judgment. Will provide consultative services to departments/divisions and leadership committees. Demonstrated experience in designing, building, and installing data systems and how they are applied to the Department of Data & Analytics technology framework is required. Candidate will partner with product owners and Analytics and Machine Learning delivery teams to identify and retrieve data, conduct exploratory analysis, pipeline and transform data to help identify and visualize trends, build and validate analytical models, and translate qualitative and quantitative assessments into actionable insights. 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 seven 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 nine 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. Advanced 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 required. Experience in DataOps/DevOps and agile methodologies is required. 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. Exemption Status Exempt Compensation Detail $155,500.80

• $225,492.80 / year Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday
• Friday, 8am
• 5pm International Assignment No Site Description 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. Recruiter Ted Keefe