About the role

Role: Remote Data Engineer I

The Remote Data Engineer I supports the implementation and maintenance of data pipelines and curated datasets that enable data quality, consistency, and readiness for analytics and AI use cases. You’ll help prepare, validate, and document data so it is accurate, secure, and accessible for self-service reporting and advanced analytics.

Responsibilities

Assist with build/refresh activities using approved data architecture designs
Support data ingestion and ETL processes, including basic troubleshooting and data quality validation
Collaborate with senior engineers to learn enterprise data standards and development patterns
Ensure compliance with data governance, security, performance, and privacy standards
Contribute to continuous improvement of data reliability and usability
Execute assigned project requests (under supervision)

Requirements

Bachelor’s or Master’s degree in Computer Science, Mathematics, or Information Systems
Minimum 5+ years of Business Intelligence or comparable data engineering experience (healthcare experience preferred)
Strong communication and analytical skills
Proficiency with Microsoft BI tools, T-SQL, ETL, data modeling, and data visualization
Strong understanding of SQL and relational database concepts
Familiarity with Epic applications and Epic database structures

Nice-to-haves / Certifications

Epic-related certifications (e.g., Epic Radar, Reporting Workbench Administration, Clarity Data, Caboodle, Slicer Dicer, Epic Revenue Cycle, Shared Clinical, Grand Central)
AI development and/or machine learning/analytics platform exposure
Microsoft Fabric development (Data Warehouse, Lakehouse, ETL tools)
Microsoft SQL certifications

Tech/Tools You’ll Work With

Azure Databricks
Epic Caboodle and related Epic reporting/extraction workflows (e.g., Cogito Extract Scheduler, Cogito Reporting Workbench)
Microsoft Fabric (Data Warehouse, Lakehouse, ETL)
Power Platform (including Power BI semantic model development/management)
Epic data ingestion workflows and data modeling tools (e.g., Slicer Dicer)

About Spartanburg Regional Healthcare System

Spartanburg Regional Healthcare System is a community-focused healthcare organization serving the Upstate for more than 100 years. The organization leverages data, analytics, and emerging technologies to improve patient outcomes, support clinical decision-making, and enable innovation across the enterprise.

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