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Provider Data Remote Jobs in Minnesota (NOW HIRING)

Data Security Consultant

Minneota, MN · On-site +1

$130K - $150K/yr

Technical advisory - Provide guidance to technology and project teams on data security requirements ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Minneota, MN · On-site +1

$130K - $150K/yr

Technical advisory - Provide guidance to technology and project teams on data security requirements ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

In partnership with Solutions Architecture, provide recommendations or develop solutions and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

In partnership with Solutions Architecture, provide recommendations or develop solutions and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Showing results 21-40

Provider Data Remote information

What is the difference between Provider Data Remote vs Provider Data Specialist?

AspectProvider Data RemoteProvider Data Specialist
CredentialsTypically requires healthcare data management certifications or relevant experienceOften requires similar certifications, such as medical coding or data management credentials
Work EnvironmentRemote, often independent or team-based in healthcare organizationsPrimarily office or healthcare facility-based, but can include remote options
Industry UsageCommonly used in healthcare, insurance, and medical data management

Provider Data Remote and Provider Data Specialist roles share similar credentials and industry usage, focusing on healthcare data management. The main difference lies in the work setting, with Provider Data Remote working primarily remotely, offering flexibility, while Provider Data Specialist roles may be more office-based. Both roles are essential for maintaining accurate provider information in healthcare systems.

What does a Provider Data Remote do?

A Provider Data Remote is responsible for managing and maintaining healthcare provider information, such as credentials, contact details, and contract status, within a healthcare organization's database. This role is typically performed remotely and involves verifying data accuracy, updating records, and ensuring compliance with regulatory requirements. Provider Data Remotes collaborate with providers, insurance companies, and internal teams to resolve discrepancies and support network operations. Strong attention to detail, data management skills, and familiarity with healthcare terminology are essential for success in this position.

What are some common challenges faced by Provider Data Remote, and how can they be managed?

Provider Data Remote professionals often encounter challenges such as managing large volumes of complex provider information, ensuring data accuracy, and keeping up with frequent updates from multiple sources. Working remotely can also mean collaborating with cross-functional teams in different locations, which requires strong communication and organizational skills. To manage these challenges, it's helpful to use standardized data management tools, establish clear communication protocols with team members, and stay updated on industry regulations related to provider data.

What are the key skills and qualifications needed to thrive as a Provider Data Remote?

To thrive as a Provider Data Remote specialist, you need strong attention to detail, data entry proficiency, knowledge of healthcare terminology, and typically an associate's or bachelor's degree in a related field. Familiarity with provider data management systems, Microsoft Excel, and claims processing software is commonly required, along with experience using databases like Facets or CAQH. Excellent organizational skills, problem-solving abilities, and clear communication help you stand out in this role. These skills ensure the accuracy and integrity of provider data, supporting efficient healthcare operations and compliance.

What are the most commonly searched types of Provider Data jobs in Minnesota?

The most popular types of Provider Data jobs in Minnesota are:

What are popular job titles related to Provider Data Remote jobs in Minnesota?

For Provider Data Remote jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Provider Data Remote jobs?

Cities in Minnesota with the most Provider Data Remote job openings:

Lead Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic

Rochester, MN • On-site, Remote

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

130th of 887 rated healthcare providers


Job description

Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions. Excellent analytic skills associated with working on unstructured datasets. Understand the architecture, be a team player, lead technical discussions and communicate the technical discussion. Be a senior Individual contributor of the Data or Software Engineering teams. Be part of Technical Review Board along with Manager and Principal Engineer. Be a technical liaison between Manager, Software Engineers and Principal Engineers. Collaborate with software engineers to analyze, develop and test functional requirements. Serve as a hands-on technical leader who actively designs, develops, reviews, and optimizes production-grade data pipelines, data products, and platform capabilities. Maintain significant contribution to production codebases while establishing engineering standards, mentoring team members, and driving delivery of scalable, resilient solutions. Mentor and Coach Engineers. Work with team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work in an Agile/Safe/Scrum environment to deliver high quality software. Establish architectural principles, select design patterns, and then mentor team members on their appropriate application. Facilitate and drive communication between front-end, back-end, data and platform engineers. Play a formal Engineering lead role in the area of expertise. Keep up-to-date with industry trends and developments.


Key Responsibilities:
These positions are hands-on engineering roles. In this role, employees are expected to actively design, develop, review, and optimize production code and platform capabilities while providing technical leadership and mentorship to engineering teams.

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.
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.

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience OR an Associate's degree in Computer Science/Engineering or related field with 8 years of experience. Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations. Have in-depth knowledge of data engineering and building data pipelines with a minimum of 5 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines. Worked and lead Data Engineering teams in Continuous Integration / Continuous Delivery model. Build/Lead Data products highly resilient in nature. Build/Lead Test Automation suites, Unit Testing coverage, Data Quality, Monitoring & Observability. A minimum experience of 5 years using relational databases and NoSQL Databases. Experience with cloud platforms such as GCP, Azure, AWS.
Continuous Integration using Jenkins, Git Hub Actions or Azure Pipelines. Experience with cloud technologies, development and deployment. Experience with tools like Jira, GitHub, SharePoint, Azure Boards. Experience using advanced data processing solutions/capabilities such as Apache Spark, Hive, Airflow and Kafka, GCP Dataflow. Experience using big data, statistics and knowledge of data related aspects of machine learning. Experience with Google BigQuery, FHIR APIs, and Vertex AI. Knowledge of how workflow scheduling solutions such as Apache Airflow and Google Composer related to data systems. Knowledge of using Infrastructure as code (Kubernetes, Docker) in a cloud environment.

The preferred candidate will possess:

  • Advanced proficiency in Python and SQL with demonstrated experience building and supporting production-grade solutions.
  • Advanced experience designing and implementing scalable distributed computing solutions using technologies such as Spark, Flink, Ray, or comparable frameworks.
  • Deep understanding of cloud-agnostic architecture principles and modern data platform design.
  • Advanced experience with open data architecture technologies including Apache Iceberg, Delta Lake, and Apache Hudi.
  • Strong expertise with modern analytical data formats including Parquet, Avro, and ORC.
  • Experience designing data platforms that support analytics, AI/ML, and operational workloads at enterprise scale.
  • Experience implementing CI/CD, automated testing, Infrastructure-as-Code, observability, and engineering best practices.
  • Experience designing systems for scalability, reliability, security, resiliency, and long-term maintainability.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919