IT Senior Data Engineer - Remote

Mayo Clinic Healthcare; Rochester (MN); Remote; USD 138,000 - 201,000; Full time

Job summary

Mayo Clinic Healthcare seeks an experienced Data Engineer in Rochester, MN to develop data pipelines and analytics solutions. The ideal candidate will have strong skills in visualization, engineering, and a proficiency in the Google Cloud Platform, contributing to patient-centered healthcare solutions and analytics.

Benefits

Medical: Multiple plan options.

Dental: Delta Dental or reimbursement account.

Vision: Affordable plan with national network.

HSA and FSAs for eligible expenses.

Competitive retirement package.

Qualifications

• 5 years experience in data visualization and engineering.
• Strong background in analytical modeling techniques.
• GCP certification required or must be obtained within 2 years.

Responsibilities

• Develop and deploy data pipelines for analytics and machine learning.
• Partner with product owners to identify and retrieve data.
• Conduct exploratory analysis and validate analytical models.

Skills

Data visualization

Data engineering

Analytical modeling techniques

Interpersonal skills

Time management

Strong analytical skills

Customer service commitment

Attention to detail

Problem resolution

Education

Bachelor's degree in a relevant field

Associate’s degree in a relevant field

Tools

Terraform

GCP Dataflow

GCP Big Query

GCP DataProc

Python

SQL

Job description

CityRochester

StateMN

RemoteYES

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. May 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 5 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 7 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.

Required hands-on GCP tech stack experience, including advanced skills in several of the following: Terraform, GCP Dataflow, GCP Big Query, GCP DataProc, GCP Data Fusion, GCP Change Data Stream, Python/SQL, Cloud Functions, Cloud Events, Cloud Composer.

Google Cloud Platform (GCP) certification is required or must be obtained within 2 years of employment.

Additional Preferred Skills: GCP DataPlex, MS Azure Cloud, Certifications in Data Engineering. Preferred experience coaching and mentoring team members to advance GCP skills.

Authorization to work and remain in the United States, without necessity for Mayo Clinic sponsorship now, or in the future (for example, be a U.S. Citizen, national, or permanent resident, refugee, or asylee). Also, Mayo Clinic does not participate in the F-1 STEM OPT extension program.

Exemption Status

Exempt

Compensation Detail

$138,257.60 - $200,512.00 / year

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

Monday - Friday; 8:00 am - 5:00 pm CT

Weekend Schedule

As needed; On-call rotation

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

Miranda Grabner