Epic Cogito Analyst

Zohorecruit; United States; Remote; USD 110,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401k

Job summary

Quoris, LLC is seeking a Mid Level Data Engineer to support a healthcare organization on a short-term engagement. The role emphasizes developing and maintaining SQL-based data solutions, ETL/ELT processes, and data quality across Epic Clarity and Caboodle environments.

The candidate will work with application owners to translate data requirements, build reporting datasets, and ensure production-ready deployments in a fast-paced, remote-capable setting.

Qualifications

• 3–6 years of Data Engineering experience.
• Hands-on experience using DBeaver.
• Certified in Epic Cogito and Clarity.
• 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; 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.

Responsibilities

• Map historical legacy EHR data fields to Epic Clarity and Caboodle data models.
• Audit and validate converted data through structured reconciliation processes.
• Develop, optimize, and maintain SQL queries and stored procedures.
• Use DBeaver as the primary database management 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 stakeholders to gather 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.

Skills

SQL

Communication

Remote work

Healthcare data

Tools

DBeaver

Epic Cogito

Epic Clarity

Caboodle

Azure Data Factory

SSIS

Informatica

dbt

Job description

• 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
  

Project Scope

We are seeking a Mid Level Data Engineer to support a healthcare organization on a short-term engagement. This role will develop and maintain data solutions, build and support data pipelines, and deliver reporting datasets in a complex enterprise environment.

Position Summary

The Mid Level Data Engineer will be responsible for developing, optimizing, and maintaining SQL-based data solutions within a healthcare data environment. This individual will work closely with application owners and business stakeholders to understand data requirements, build and support ETL/ELT processes, and ensure data accuracy and integrity ahead of production deployments. The ideal candidate is comfortable working independently, communicates effectively across technical and business teams, and brings hands-on SQL, DBeaver, and Epic Clarity experience to a fast-paced engagement.

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 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.
  
• 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.