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Epic Data Model Jobs in Michigan (NOW HIRING)

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · On-site

$75 - $80/hr

Caboodle Data Model Must Have * Atleast five years of relevant experience developing and supporting ... Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Caboodle Data Model Must Have * Atleast five years of relevant experience developing and supporting ... Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Caboodle Data Model Must Have * Atleast five years of relevant experience developing and supporting ... Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

Caboodle Data Model Must Have * Atleast five years of relevant experience developing and supporting ... Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or ...

Stefanini

Epic Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/yr

CogitoClarity DataCaboodle Data Model Must HaveAtleast five years of relevant experience developing ... Non-Epic DataExperience in FacetsSnowflake Experience Qualifications:Bachelor's Degree or ...

TRG

Senior Business Intelligence Developer

Troy, MI · On-site

... Data Models, Data Visualizations, curated datasets, data cubes or experience in Electronic Medical Record (EMR) report development, functionality of any EMR (Epic, Cerner, McKesson or other widely ...

Deloitte

Epic Research & Genomics Analyst

Midland, MI · On-site +1

Epic Research & Genomics Sr. Consultant Are you an experienced, passionate pioneer in technology ... technology & data platforms. Our delivery models are tailored to meet each client's unique ...

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Epic Data Model information

Is it hard to get hired at Epic Data Model?

Getting hired for a role involving Epic data modeling typically requires relevant experience with Epic systems, data analysis skills, and knowledge of healthcare data standards. The hiring process can be competitive, often involving technical assessments and interviews to evaluate technical proficiency and understanding of healthcare data workflows.

What are the key skills and qualifications needed to thrive as an Epic Data Modeler, and why are they important?

To thrive as an Epic Data Modeler, you need a strong background in database design, data analysis, and healthcare informatics, typically supported by a degree in computer science, information systems, or a related field. Familiarity with Epic Systems software, certification in Epic Data Model (such as Clarity or Caboodle), and proficiency in SQL are commonly required. Strong problem-solving, analytical thinking, and effective communication skills are essential for translating clinical requirements into accurate data structures. These skills ensure the efficient management and extraction of healthcare data, enabling informed decision-making and regulatory compliance in clinical environments.

What is the difference between Epic Data Model vs Epic Data Analyst?

AspectEpic Data ModelEpic Data Analyst
Primary RoleDesigns and structures data within Epic systemsAnalyzes data to generate reports and insights from Epic systems
Required SkillsData modeling, database design, Epic system knowledgeData analysis, reporting, Epic system proficiency
Work EnvironmentIT and data management teams in healthcare settingsHealthcare analytics teams, clinical or administrative settings
CertificationsEpic certifications, data modeling credentialsEpic certifications, data analysis certifications

The Epic Data Model focuses on structuring and designing data within Epic systems, while the Epic Data Analyst interprets and reports on that data to support healthcare decision-making. Both roles are essential in healthcare IT, but they serve different functions in data management and analysis.

What is an Epic Data Model?

An Epic Data Model refers to the structured framework used to organize and store data within the Epic electronic health record (EHR) system. It defines how patient information, clinical workflows, billing details, and other healthcare data are represented and related in Epic’s databases. Understanding the Epic Data Model is essential for reporting, integration, and customization tasks within the Epic EHR environment. Healthcare IT professionals often work with this model to extract meaningful insights and ensure accurate data management across healthcare organizations.

What are some common challenges faced by professionals working with the Epic Data Model, and how can they be addressed?

Professionals working with the Epic Data Model often encounter challenges such as navigating the complex schema, understanding proprietary naming conventions, and ensuring data integrity across interconnected modules. Addressing these challenges typically involves thorough training, leveraging Epic's documentation and user community, and collaborating closely with clinical and IT teams to clarify requirements and workflows. Proactive communication and continuous learning are key to effectively managing these complexities and delivering accurate, actionable insights from the system.

What is the highest paid Epic analyst?

The highest paid Epic analysts typically have extensive experience, advanced certifications, and expertise in Epic's electronic health record systems. Senior Epic analysts or those in leadership roles can earn salaries exceeding $100,000 annually, depending on location and organization size. Compensation also varies based on skills in specific modules and proficiency with Epic tools.

What are Epic data models?

Epic data models are structured representations of healthcare data used within Epic electronic health record (EHR) systems. They define how clinical, administrative, and financial information is organized, enabling efficient data management, interoperability, and reporting. Knowledge of data modeling, healthcare standards, and Epic's tools is essential for professionals working with these models.

How much do data modelers make?

Data modelers typically earn a median salary ranging from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data architecture, SQL, and data modeling tools like ERwin or PowerDesigner tend to earn higher salaries, especially in larger organizations or tech hubs.
What are popular job titles related to Epic Data Model jobs in Michigan? For Epic Data Model jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Epic Data Model jobs in Michigan look for? The top searched job categories for Epic Data Model jobs in Michigan are:
What cities in Michigan are hiring for Epic Data Model jobs? Cities in Michigan with the most Epic Data Model job openings:
Epic Data Model jobs near you
Epic Data Engineer

Epic Data Engineer

Stefanini Group

Grand Rapids, MI • On-site

$75 - $80/hr

Contractor

Posted 12 days ago

Job description

Details:
Stefanini Group is hiring!
Stefanini is looking for Epic Data Engineer-Remote
For quick apply, please contact Sudhanshu Shrivastava; Ph: 248 582 6510
Sudhanshu.shrivastava@stefanini.com
W2 Candidates Only!
Job Summary:
Data Engineers work collaboratively with architects, business intelligence developers, data analysts and data scientists to build and maintain analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Senior Data Engineer is an experienced data pipeline builder and data wrangler with an aptitude for identifying nuances and patterns within complex datasets with the goal of transforming raw data into timely, reliable data sets. This role is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection to support business needs.
Essential Functions:
  • Develops, tests, and deploys ELT / ETL processes across multiple sources, targets and tools with no supervision.
  • Provides support and recommendations to intermediary level engineers to enhance their technical skills. Collaborates with data consumers of varying skill levels on available data sources and potential biases within datasets.
  • Provides operational and ad-hoc support for systems and applications troubleshooting and maintenance for incidents related to data warehouses, datasets and data pipelines.
  • Participates in the design, development, and implementation of conceptual, logical, and physical data models.
  • Adheres to the team's application of best practices and organizational standards of the Software Development Lifecycle to ensure high quality and reliable data assets. Follows the organizational standards and laws governing use of sensitive data relating to Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Develops Continuous Integration and Continuous Development (CI/CD) processes focused on acceleration of value delivery and minimizing manual touchpoints.
  • Participates in enterprise-wide Agile ceremonies determining and recommending technical programming approaches and solutions to complex applications. Works independently or collaboratively to capture, document, and groom features and stories for planning and execution.

#LI-SS3
#LI-REMOTE
Job Requirements
Details:
Must have epic certifications:
  • Cogito
  • Clarity Data
  • Caboodle Data Model

Must Have
  • Atleast five years of relevant experience developing and supporting applications, and or system development lifecycle including coding, testing, and implementation required
  • Effective and self-sufficient in working within a diverse technology portfolio
  • Excellent analytical skills to troubleshoot and resolve systems problems
  • Must have: Cogito, Clarity Data model, Caboodle Data Model
  • Strong Experience in Programming; Well-versed with concepts and techniques of Business Intelligence and Data Warehousing
  • Strong written and oral communication skills with ability to interpret technical requirements

Nice To Have
  • Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or Caboodle Development for Non-Epic Data
  • Experience in Facets
  • Snowflake Experience

Qualifications:
  • Bachelor's Degree or equivalent Preferred Master's Degree
  • 5 years of relevant experience Required

Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.
About Stefanini Group:
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company
Pay Range:
$ 75.00 - $ 80.00

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