Data Engineer

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

• Location 3003 N Central Ave, Suite 1600,Phoenix, AZ, 85012,United States


• Job Category Informatics


• Employee Type Exempt

Contact information

Description

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.