Remote Data Engineer

About The Company

Spartanburg Regional Healthcare System (SRHS) is a renowned healthcare organization dedicated to providing exceptional patient care and advancing healthcare innovation in the Upstate region for over a century. As a forward-thinking, community-focused institution, SRHS leverages cutting-edge data analytics, emerging technologies, and collaborative efforts to improve patient outcomes, support clinical decision-making, and foster continuous improvement across its services. The organization values a culture of learning, growth, and teamwork, ensuring that its staff are equipped with the tools and knowledge necessary to excel in a dynamic healthcare environment. SRHS’s commitment to data-driven solutions positions it as a leader in healthcare innovation, making it an ideal place for professionals passionate about transforming healthcare through technology and analytics.

About The Role

The Remote Data Engineer I at Spartanburg Regional Healthcare System is a vital role dedicated to supporting the development and maintenance of robust data pipelines and curated datasets. This position ensures that data is accurate, consistent, secure, and readily available for analytics, reporting, and AI initiatives. Working under the guidance of senior data engineers, the successful candidate will focus on foundational data engineering activities, including data preparation, validation, and documentation. The role emphasizes building trusted data at scale to support operational reporting, enterprise analytics, and innovative AI-driven solutions. This is a fully remote position, requiring candidates to reside in one of the specified states, and offers an excellent opportunity to grow technical skills in a collaborative and impactful environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, or Information Systems
• Minimum of 5 years of experience in Business Intelligence or comparable data engineering roles, preferably within healthcare
• 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
• Excellent communication and analytical skills
• Relevant certifications such as Epic Radar, Reporting Workbench, Clarity Data, Caboodle, or Microsoft SQL certifications are preferred
• Knowledge of AI development, machine learning platforms, and Microsoft Fabric development is a plus
  
  

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Responsibilities

• Assist in building and refreshing data pipelines using approved architecture designs
• Support data ingestion and ETL processes, including troubleshooting and data quality validation
• Collaborate with engineers and developers to adhere to enterprise data standards and development patterns
• Ensure compliance with data governance, security, performance, and privacy standards
• Execute project requests exceeding 40 hours under supervision, contributing to data reliability and usability improvements
• Contribute to the continuous enhancement of data quality and accessibility for analytics and reporting
• Support and maintain data workflows involving Azure Databricks, Epic Caboodle, and Microsoft Fabric tools
• Participate in the development and management of Power BI models, Slicer Dicer data models, and other analytics platforms
• Perform additional duties related to data engineering and analytics projects as assigned
  
  

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Benefits

• Competitive salary package
• Flexible remote work environment
• Opportunities for professional growth and development
• Access to cutting-edge healthcare analytics tools and platforms
• Supportive team environment focused on learning and innovation
• Comprehensive health, dental, and vision insurance
• Retirement savings plans and wellness programs
  
  

Equal Opportunity

Spartanburg Regional Healthcare System is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, disability, sexual orientation, gender identity, or any other protected status under applicable law.