The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across Mountain Park Health Center. This position develops reliable data pipelines, data warehouses, data lakes, and Dataverse solutions that transform data from multiple sources into accurate, accessible, and actionable information.
The Data Engineer will collaborate with other IT team members and stakeholders to review, modernize, implement, and maintain data architecture, artificial intelligence, and machine learning based innovations in a healthcare setting to strengthen interoperability in a community focused healthcare organization.
Essential Functions
- Designs, builds, implements, and maintains scalable data pipelines and Extract Transform Load (ETL)/Extract Load Transform (ELT) processes that integrate data from diverse internal and external systems to support enterprise-wide analytics.
- Builds and optimizes data pipelines that prepare, transform, and deliver high-quality datasets to support predictive modeling use cases such as patient no-show risk, care gaps, and population health insights.
- Develops data workflows that support both real-time and scheduled prediction use cases, ensuring the timely delivery of predictive insights for operational decision-making (e.g., scheduling or outreach).
- Creates and establishes data quality standards, validation frameworks, and monitoring processes while advancing data governance practices, including data definitions and metadata management.
- Enables interoperability and healthcare data exchange by developing and managing integrations using healthcare standards such as: Health Level Seven (HL7), Fast Healthcare Interoperability Resources (FHIR), and modern data exchange methods: Application Programming Interface (APIs), Secure File Transfer Protocol (SFTP), flat files to ensure seamless and accurate data flow across systems.
- Partners with clinical, operational, and business stakeholders to identify predictive analytics use cases (e.g., no-show prediction, risk stratification, utilization forecasting) and ensures the necessary data architecture is in place to drive improved patient outcomes and organizational performance.
- Monitors, troubleshoots, and enhances data pipelines, queries, and storage environments to ensure high performance, reliability, and scalability.
- Collaborates with cross-functional teams to ensure internal customers can confidently and effectively use and trust the data.
- Drives the adoption of best practices and maintains clear technical documentation while effectively communicating with both technical and non-technical audiences.
- Maintains regular and predictable attendance.
- Performs other duties as assigned
Position Qualifications
Minimum Qualifications:
- Bachelor's degree in computer science, Mathematics, Engineering, Healthcare Informatics, or related field.
- Five (5) years of experience in Information Technology.
- Microsoft Azure or similar cloud solutions, SQL Server: SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS) and Transact-SQL (T-SQL) data manipulation or similar database.
- Three (3) years of experience with business Intelligence tools such as PowerBI.
Preferred Qualifications:
- Master's degree in computer science or related field.
- Experience with Predictive Analytics
- FHIR, HL7, API knowledge.
- Healthcare experience.
