Quoris
Posted 76 days agoVerified live 2d ago
Data Engineer
Brief overview
Remote
3+ yrsMinimum
SQLDBeaverETL processesELT processesRelational databasesData modelingData validationPythonAzure Data FactorySSISInformaticadbtPower BITableauHealthcare data environmentsEpic reporting
About the company
Quorisquoris.com
Healthcare partners since 1999, Quoris (formerly ROI International) helps healthcare organizations worldwide deploy, optimize, and modernize their EHR and related technology solutions to orchestrate meaningful transformation.
Job description
Summary
Quoris is a healthcare organization seeking a Mid Level Data Engineer to support a short-term engagement. The role involves developing and maintaining data solutions, building and supporting data pipelines, and ensuring data accuracy within a complex enterprise environment.
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
Skills
- 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
- Must be eligible to work in the U.S. without sponsorship
- 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
Qualifications
Must Haves
- 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
- Must be eligible to work in the U.S. without sponsorship
Nice to Haves
- 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
Benefits
- Health, Dental, Vision, 401k, and a great culture/working environment
