Remote Data Engineer I

Spartanburg Regional Healthcare System Spartanburg, SC
full_time Onsite Administration Careers
Job Details
full_time
8 am to 5:30 pm
Onsite
Spartanburg, SC
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 SystemSpartanburg 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 ScaleRemote Data Engineer IThe 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 TableEducational FoundationBachelor’s or Master’s degree in Computer Science, Mathematics, or Information SystemsProfessional ExperienceMinimum of 5 years of Business Intelligence or comparable data engineering experience (healthcare experience preferred)Strong communication and analytical skillsProficiency with Microsoft BI tools, T SQL, ETL processes, data modeling, and data visualizationStrong understanding of SQL and relational database conceptsFamiliarity with Epic applications and Epic database structuresLicenses and CertificationsRelevant Epic Data Model or Microsoft development certifications preferredCertifications may include but are not limited to:Epic Radar, Reporting Workbench Administration, Clarity Data, Caboodle, Slicer DicerEpic Revenue Cycle, Shared Clinical, Grand Central, and related specialtiesAI development including machine learning and analytics platformsMicrosoft Fabric development including Data Warehouse, Lakehouse, and ETL toolsMicrosoft SQL certificationsWhat You Will Learn and DeliverAssists with build and refresh activities using approved data architecture designsSupports data ingestion and ETL processes including basic troubleshooting and data quality validationCollaborates with engineers and developers to learn enterprise data standards and development patternsEnsures compliance with data governance, security, performance, and privacy standardsExecutes assigned project requests exceeding 40 hours under supervisionContributes to continuous improvement of data reliability and usabilityPerforms additional duties as assignedTechnologies and Work Areas You Will SupportAzure DatabricksEpic Caboodle development internal and externalCogito Extract SchedulerCogito Reporting Workbench SQLCogito SQL MetricsCopilot Studio agent development and managementData agent development and managementEpic claims ingestion workflowsMicrosoft Fabric Data Warehouse, Lakehouse, and ETL developmentPower Platform applicationsPower BI semantic model development and managementSlicer Dicer data model development and managementOther assigned or extended project requestsTake the Next StepIf 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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