AI Summary
Join Spartanburg Regional Healthcare System as a Remote Data Engineer I to build trusted data at scale, support analytics initiatives, and contribute to healthcare innovation.
Key Highlights
Build data pipelines and curated datasets
Support data quality, consistency, and readiness for analytics and AI use cases
Collaborate with engineers and developers to learn enterprise data standards and development patterns
Key Responsibilities
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
Technical Skills Required
Benefits & Perks
100% remote work
Salary range not explicitly stated
Nice to Have
Relevant Epic Data Model or Microsoft development certifications
Job Description
Job Requirements
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
- 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
Interested in remote work opportunities in Data Science? Discover Data Science Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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
- 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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
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.
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