Healthcare Data Engineer: ETL, AI & Analytics

MOUNTAIN PARK HEALTH CENTER; Phoenix (AZ); On-site; USD 100,000 - 140,000; Full time

Job summary

Mountain Park Health Center is seeking a Data Engineer to design, build, and maintain enterprise data infrastructure powering clinical and operational analytics. The role focuses on reliable data pipelines, data warehouses, data lakes, and Dataverse solutions to transform diverse data into actionable insights.

You will collaborate across IT and clinical teams to modernize data architecture, enable AI/ML innovations, and strengthen interoperability within a community-focused healthcare

Qualifications

• Bachelor's degree in computer science, mathematics, engineering, healthcare informatics, or related field.
• Five years of experience in Information Technology.
• Microsoft Azure or similar cloud solutions, SQL Server tools (SSMS, SSIS, SSRS) and T-SQL data manipulation.
• Three years of experience with Power BI for BI reporting.

Responsibilities

• Designs, builds, implements, and maintains scalable data pipelines and ETL/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 timely delivery of predictive insights for operational decision-making.
• 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 HL7, FHIR, APIs, and SFTP for seamless data flow across systems.
• Partners with clinical, operational, and business stakeholders to identify predictive analytics use cases and ensures data architecture supports improved patient outcomes and organizational performance.
• Monitors, troubleshoots, and enhances data pipelines, queries, and storage environments to ensure high performance, reliability, and scalability.
• Drives adoption of best practices and maintains clear technical documentation while communicating with both technical and non-technical audiences.

Skills

Data modeling

ETL/ELT design

Healthcare interoperability

Collaborating with stakeholders

Data governance

Education

Bachelor's degree in Computer Science/Engineering/Healthcare Informatics

Master's degree preferred

Tools

SSMS

SSIS

SSRS

T-SQL

PowerBI

HL7

FHIR

Job description

Mountain Park Health Center is seeking a Data Engineer to design, build, and maintain enterprise data infrastructure powering clinical and operational analytics. The role focuses on reliable data pipelines, data warehouses, data lakes, and Dataverse solutions to transform diverse data into actionable insights.

You will collaborate across IT and clinical teams to modernize data architecture, enable AI/ML innovations, and strengthen interoperability within a community-focused healthcare