Data Engineer
Location: Rochester
Posted on: June 23, 2025
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Job Description:
Mayo Clinic’s tech culture is rooted in passion for technology,
embraces innovative thinking and strives for high performance. Our
teams drive change in health care through comprehensive connected
health and digital transformation strategies. Some examples of our
major initiatives are: • Utilizing artificial intelligence and
machine learning principles to develop next generation patient
centric care systems • Transforming the practice by applying data
science techniques to discover new approaches to health care
delivery • Leveraging Enterprise Architecture to construct
integration centricity, promote data liquidity, and provide
innovation support This transformation creates, connects and
applies integrated knowledge to deliver the best health care,
health guidance and health information to patients, customers,
partners, providers, employees anywhere and anytime so the needs of
the patient come first. 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 Bachelors 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
Keywords: , Eagan , Data Engineer, IT / Software / Systems , Rochester, Minnesota
