Data engineer

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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