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AI Summary
Develop, optimize, and maintain SQL-based data solutions and pipelines within a healthcare environment. Collaborate with stakeholders to translate data requirements into technical specifications and ensure data integrity before production.
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 and DBeaver experience to a fast-paced engagement.
Key Responsibilities
- 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.
- 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
- 3–6 years of Data Engineering experience.
- Strong SQL development skills required.
- Hands-on experience using DBeaver required.
- Experience building and maintaining ETL or ELT processes.
- Strong understanding of relational databases and data modeling.
- 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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