Data Engineer

Mayo Clinic; City of Rochester (NY); Remote; USD 100,000 - 141,000; Full time

Job summary

Mayo Clinic is seeking a Data Engineer for their Information Technology department. This full-time remote position requires strong analytical skills and experience with data pipelines, SQL, and Python. The role involves collaborating on EHR/RCM integrations and requires excellent communication skills.

Benefits

Medical Plan Options

Dental Coverage

Vision Plan

HSA and FSAs

Retirement Package

Qualifications

• Experience with data analysis, quality, and profiling.
• Ability to manage multiple priorities and projects.

Responsibilities

• Provide technical guidance for EHR/RCM software solutions.
• Develop and maintain data pipelines and analytics solutions.

Skills

Analytical Skills

Customer Service

Attention to Detail

Education

Bachelor's degree in Computer Science

Associate’s degree in Computer Science

Tools

SQL

Python

Epic Clarity

Google BigQuery

Apache Beam

Rapid SQL

Job description

City Rochester

State MN

Remote YES

Department Information 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

The SER, Development & Testing team within the Electronic Health Record/Revenue Cycle Management (EHR/RCM) system division is seeking a Data Engineer to provide technical guidance and support for new and existing software solutions. These solutions are developed for EHR/RCM integrations and workflows, in collaboration with the Center for Digital Health and our vendor partner Palantir. The Data Engineer will leverage strong analytical skills and a commitment to customer service to identify and recommend solutions as part of a cross-functional team. The successful candidate will possess excellent verbal and written communication skills, attention to detail, and a high capacity for learning and problem resolution. The incumbent will manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. The ideal candidate will demonstrate the following technical skills:

• Working knowledge of Epic Clarity and Google BigQuery
• Advanced experience in SQL
• Developing and maintaining data pipelines, data storage and analytics solutions
• Experience using scripting languages like Python
• Working knowledge of HL7 and FHIR interfaces to help troubleshoot issues
• Experience in hybrid data processing methods (batch and streaming) that make use of technologies such as Apache Beam/Dataflow, Pub/Sub is preferred.
• Experience in DevOps and agile methodologies is preferred.
• Epic and Google Cloud Platform (GCP) certification is preferred.
  
  

This role is a 2-year Limited Tenure position and is required to participate in a 24/7 on-call rotation.

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

Bachelor's degree in Computer Science or Engineering from an accredited University or College; OR an Associate’s degree in Computer Science or Engineering from an accredited University or College with 2 years of experience.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, is required. May provide consultative services to departments/divisions and committees. 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.) required. 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. Requires 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; including data exploration tools including but not limited to Rapid SQL, AQT, Information Analyzer, and Informatics.N/A

Exemption Status

Exempt

Compensation Detail

$100,339.20 - $140,462.40 / year

Benefits Eligible

Yes

Schedule

Full Time

Hours/Pay Period

80

Schedule Details

Monday - Friday, 8am - 5pm

Weekend Schedule

As needed

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