Epic Cogito Analyst

This is a remote position.

Data Engineer

• Start Date: ASAP
  
• Duration: Contract (3 Months, Extension Possible)
  
• Daily Working Hours: Full-Time
  
• Travel: Remote – Eastern Time hours required
  
• Work authorization: Must be eligible to work in the U.S. without company sponsorship
  
• No Third Parties Please
  

Key Responsibilities

• Map historical legacy EHR data fields to appropriate Epic Clarity and Cobbodle data models to ensure long-term data continuity. 
  
• Audit ad validate converted data through structured reconciliation processes to maintain strict data integrity between systems.
• Develop, optimize, and maintain SQL queries and stored procedures.
  
• Use DBeaver as the primary database management and development tool.
  
• Build and support ETL/ELT processes across the data environment.
  
• Leverage Epic Clarity data models to support reporting and data extraction needs.
  
• Troubleshoot data quality and performance issues.
  
• Partner with application owners and business stakeholders to gather and translate data requirements.
  
• Validate data accuracy and perform testing prior to production deployments.
  
• Document data flows, transformations, and technical specifications.
  
• Participate in knowledge transfer with the internal team throughout the engagement.
  

Qualifications

• Certified in Epic Cogito and Clarity
• 3–6 years of Data Engineering experience.
  
• Strong SQL development skills required.
  
• Strong exp. with Caboodle
• Hands-on experience using DBeaver required.
  
• Experience building and maintaining ETL or ELT processes.
  
• Strong understanding of relational databases and data modeling.
  
• Experience with Epic Clarity data models and reporting structures; certification not required but hands-on experience preferred.
  
• Experience with data validation and troubleshooting.
  
• Excellent communication skills across technical and business audiences.
  
• Healthcare experience strongly preferred.
  
• Must be eligible to work in the U.S. without sponsorship.
  

Preferred Qualifications

• Experience with Python.
  
• Familiarity with Azure Data Factory, SSIS, Informatica, dbt, or similar ETL tools.
  
• Power BI or Tableau exposure.
  
• Experience supporting Epic reporting or healthcare data environments.
  

Ideal Candidate Profile

• Hands-on data engineer who can hit the ground running with minimal oversight in a remote environment.
  
• Strong SQL developer who knows DBeaver and understands how to build reliable, scalable data pipelines.
  
• Detail-oriented and thorough, with a track record of accurate data validation and clean production deployments.
  
• Communicates clearly with both technical teams and business stakeholders.
  
• Brings professionalism, reliability, and a delivery-focused mindset to every engagement.
  

When working with Quoris as a consultant, you are eligible for competitive benefits including Health, Dental, Vision, 401k, and a great culture/working environment.