Develop and optimize SQL-based data solutions and ETL/ELT pipelines using DBeaver. Troubleshoot data quality and performance, validate data prior to production, document transformations, and collaborate with application owners and business stakeholders. Support testing, deployments, and knowledge transfer in a healthcare data environment.
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
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 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.
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