Remote Machine Learning Postdoc Jobs in Greenville, SC

Build the Foundation for Data Driven Healthcare and Join Us as Our Next Remote Data Engineer I!

Location: 100% Remote | Applicants must reside in one of the following states: AL, AZ, CT, DE, FL, GA, IN, KS, KY, LA, MD, MI, NC, PA, RI, SC, VA, WV, or WI.

Why Choose Spartanburg Regional Healthcare System

Spartanburg Regional Healthcare System is a forward thinking, community focused healthcare organization that has served the Upstate for more than 100 years. SRHS is committed to leveraging data, analytics, and emerging technologies to improve patient outcomes, support clinical decision making, and advance innovation across the enterprise.

Team members at SRHS work in a collaborative environment that values learning, growth, and continuous improvement. Our data and analytics teams play a critical role in delivering trusted data that supports both business intelligence and advanced AI driven solutions.

Step Into a Role That Builds Trusted Data at Scale

Remote Data Engineer I

The Remote Data Engineer I supports the implementation and maintenance of data pipelines and curated datasets that ensure data quality, consistency, and readiness for analytics and AI use cases. This role focuses on foundational data engineering activities, assisting with preparation, validation, and documentation of data so it is accurate, secure, and accessible for self-service reporting and advanced analytics.

Working under the guidance of senior data engineers, this role develops skills in data curation, governance, and pipeline development while contributing to the delivery of reliable, optimized datasets that support both operational reporting and enterprise analytics initiatives. This is a fully remote position.

What You Bring to the Table

Educational Foundation

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or Information Systems

Professional Experience

• Minimum of 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 processes, data modeling, and data visualization
• Strong understanding of SQL and relational database concepts
• Familiarity with Epic applications and Epic database structures

Licenses and Certifications

• Relevant Epic Data Model or Microsoft development certifications preferred
• Certifications may include but are not limited to:
• Epic Radar, Reporting Workbench Administration, Clarity Data, Caboodle, Slicer Dicer
• Epic Revenue Cycle, Shared Clinical, Grand Central, and related specialties
• AI development including machine learning and analytics platforms
• Microsoft Fabric development including Data Warehouse, Lakehouse, and ETL tools
• Microsoft SQL certifications

What You Will Learn and Deliver

• Assists with build and refresh activities using approved data architecture designs
• Supports data ingestion and ETL processes including basic troubleshooting and data quality validation
• Collaborates with engineers and developers to learn enterprise data standards and development patterns
• Ensures compliance with data governance, security, performance, and privacy standards
• Executes assigned project requests exceeding 40 hours under supervision
• Contributes to continuous improvement of data reliability and usability
• Performs additional duties as assigned

Technologies and Work Areas You Will Support

• Azure Databricks
• Epic Caboodle development internal and external
• Cogito Extract Scheduler
• Cogito Reporting Workbench SQL
• Cogito SQL Metrics
• Copilot Studio agent development and management
• Data agent development and management
• Epic claims ingestion workflows
• Microsoft Fabric Data Warehouse, Lakehouse, and ETL development
• Power Platform applications
• Power BI semantic model development and management
• Slicer Dicer data model development and management
• Other assigned or extended project requests

Take the Next Step

If you are ready to grow your data engineering skills, support meaningful analytics initiatives, and contribute to trusted data solutions that power healthcare innovation, we encourage you to apply today. Join Spartanburg Regional Healthcare System and help build the data foundation that supports smarter decisions and better patient care.