Note: The job is a remote job and is open to candidates in USA. 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
Benefits
- Health, Dental, Vision, 401k, and a great culture/working environment
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