Epic Clarity Cogito and Caboodle Developer

We are seeking experienced Epic Clarity professionals for multiple healthcare IT openings supporting Epic reporting, analytics, data integration, and enterprise data environments., Depending on the position, responsibilities may include:

• Write, develop, and troubleshoot SQL queries against the Epic Clarity relational reporting database.
• Build and maintain reports, extracts, dashboards, and downstream datasets.
• Translate healthcare business requirements into accurate:
• Joins
• Filters
• Dates
• Populations
• Measures
• Reporting logic
• Develop reporting solutions for clinical, financial, revenue cycle, access, and operational departments.
• Perform data validation, reconciliation, edge-case testing, and user acceptance testing.
• Document reporting logic, validation results, and user sign-off.
• Troubleshoot data discrepancies and reporting issues.
• Support deployment and production validation.
• Work with Epic Cogito, Caboodle, SlicerDicer, and/or enterprise data warehouse environments, depending on the role.
• For ETL/administration positions, monitor extract and load processes, investigate failed or delayed loads, manage dependencies, support recovery, and assist with upgrades.
• Collaborate with analysts, developers, clinical teams, business stakeholders, and technical teams.

Potential Epic Clarity Positions

We are hiring for multiple types of Epic analytics and data roles, including:

Epic Clarity Reporting Developer

• SQL development
• Clarity reporting logic
• Data validation
• Performance optimization
• Report deployment and support

Epic Clarity ETL / Administrator

• Extract and load processes
• Load monitoring
• Troubleshooting failed or delayed loads
• Recovery and dependency management
• Environment support
• Upgrades and access management

Epic Cogito Reporting Analyst / Developer

• Epic reporting content
• Dashboards and reports
• Report delivery
• Governance
• Business requirements
• User support and enablement

Epic Caboodle / Enterprise Data Warehouse Developer

• Warehouse ETL
• Dimensional modeling
• Data transformation
• Reconciliation
• Data quality
• Administration and support

Epic SlicerDicer Specialist

• SlicerDicer configuration
• Cohorts and populations
• Measures and filters
• Security
• Self-service analytics
• End-user training and enablement, During the screening process, candidates may be asked to explain:
• What Epic reporting/build work they personally completed
• Which Epic applications or data models they supported
• Their Clarity SQL experience
• Reports, extracts, dashboards, or datasets they built
• How they troubleshoot incorrect or missing data
• How they validate reporting results
• Their experience with Cogito, Caboodle, SlicerDicer, or EDW
• Their role in testing, deployment, upgrades, or production support
• Specific examples of complex reporting or data problems they resolved

We are looking for candidates who can demonstrate hands-on experience-not candidates relying solely on certification or theoretical knowledge.

Candidate Screening Process

Our screening process follows four key steps:

1. Verify Certification Confirm the appropriate Epic certification or credential for the specific opening.

2. Verify Hands-On Build Experience Candidates must demonstrate actual Epic Clarity/reporting/data work they have performed.

3. AI/Technical Interview Qualified candidates will complete a technical interview focused on Epic Clarity, SQL, healthcare data, reporting logic, and hands-on experience.

4. Candidate Coaching & Submission Candidates who successfully complete the screening process will receive preparation and coaching for the client interview., * Which exact role is your strongest current area: Clarity reporting, Clarity ETL/admin, Cogito, Caboodle, SlicerDicer, or EDW?

• What exact Epic certifications or proficiencies do you hold, and what is their current status and maintenance date?
• When did you last perform hands-on work in that area, and for what type of healthcare organization?
• Tell me one thing you personally built or changed. What was the object or process?
• What exactly did you do yourself, and which environment or data layer did you use?
• How did you test and reconcile it before production?
• How much recent work involved SQL, ETL, load monitoring, database administration, or performance tuning?

The ideal candidate will have hands-on Epic Clarity experience, strong SQL skills, healthcare data knowledge, and the ability to build, troubleshoot, validate, and support reporting solutions used by clinical, financial, revenue cycle, access, and operational teams.

Certification alone is not sufficient. Candidates must be able to demonstrate recent, hands-on Epic build and configuration experience., * Demonstrated professional experience working with Epic Clarity and/or Epic analytics environments.

• Strong SQL development and troubleshooting skills.
• Healthcare data/reporting experience.
• Experience translating healthcare business requirements into technical reporting solutions.
• Experience validating and reconciling healthcare data.
• Ability to explain previous Epic build/configuration work in detail.
• Strong analytical and problem-solving skills.
• Excellent communication and documentation skills.
• Ability to work independently and collaboratively with technical and business teams.

Epic Certification

Certification requirements vary by opening.

Depending on the specific position, candidates may be required to hold or have experience with relevant Epic credentials such as:

• Epic Clarity Data Model
• Epic Cogito
• Epic Caboodle Data Model
• Cogito Caboodle
• SlicerDicer-related training/proficiency
• Other Epic or systems-administration credentials specified by the client

Important: Candidates will be screened for the certification applicable to the specific position. Certification must be current/valid as required by the client.

Hands-On Build Experience Required

Candidates should be prepared to discuss actual Epic work they have personally performed., * Recent Epic Clarity experience

• Strong SQL skills
• Healthcare data/reporting experience
• Experience building-not simply using-Epic reporting solutions
• Knowledge of Epic analytics architecture
• Experience with data validation and reconciliation
• Ability to clearly explain technical work
• Relevant Epic certification matching the position, * Clarity experience
• SQL experience
• Hands-on build/configuration experience
• Cogito/Caboodle/SlicerDicer experience
• Healthcare organizations supported
• Recent project responsibilities