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Healthcare Data Engineer Jobs in Arizona (NOW HIRING)

MOUNTAIN PARK HEALTH CENTER

Data Engineer

Phoenix, AZ

$108K - $130K/yr

Health Level Seven (HL7), Fast Healthcare Interoperability Resources (FHIR), and modern data exchange methods: Application Programming Interface (APIs), Secure File Transfer Protocol (SFTP), flat ...

Mountain Park Health Center

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

Health Level Seven (HL7), Fast Healthcare Interoperability Resources (FHIR), and modern data exchange methods: Application Programming Interface (APIs), Secure File Transfer Protocol (SFTP), flat ...

MOUNTAIN PARK HEALTH CENTER

Data Engineer

Phoenix, AZ

$108K - $130K/yr

Health Level Seven (HL7), Fast Healthcare Interoperability Resources (FHIR), and modern data exchange methods: Application Programming Interface (APIs), Secure File Transfer Protocol (SFTP), flat ...

Mountain Park Health Center

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

Health Level Seven (HL7), Fast Healthcare Interoperability Resources (FHIR), and modern data exchange methods: Application Programming Interface (APIs), Secure File Transfer Protocol (SFTP), flat ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

Responsibilities Ready to build the data infrastructure that keeps healthcare claims moving? Why ... As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw health ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

ResponsibilitiesReady to build the data infrastructure that keeps healthcare claims moving? Why ... As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw health ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$100 - $125/hr

Responsibilities Ready to build the data infrastructure that keeps healthcare claims moving? Why ... As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw health ...

New

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

ResponsibilitiesReady to build the data infrastructure that keeps healthcare claims moving? Why ... As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw health ...

Personify Health

Data Engineer II

Tempe, AZ · On-site

$111K - $133K/yr

Ready to build the data infrastructure that keeps healthcare claims moving? Why This Role Matters ... As a Data Engineer II, you're the person who builds and maintains that backbone, turning raw health ...

New

Terros Health

Senior Data Engineer (8934)

Phoenix, AZ · On-site

$100K - $136K/yr

Terros Health is a healthcare organization of caring people, guided by our core values of integrity ... The Senior Data Engineer plays a critical role within the Business Intelligence team, designing ...

Terros Health

Senior Data Engineer (8934)

Phoenix, AZ · On-site

$100K - $136K/yr

Terros Health is a healthcare organization of caring people, guided by our core values of integrity ... The Senior Data Engineer plays a critical role within the Business Intelligence team, designing ...

TriWest Healthcare

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Summary The Data Engineer will be responsible for design and development of ETL. The role will ... At TriWest Healthcare Alliance, we've proudly been on that important mission since 1996. DoD ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

... healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost ...

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All JobsHealthcare Data Engineer JobsHealthcare Data Engineer Jobs in Arizona

Healthcare Data Engineer information

See Arizona salary details

$41.5K

$120.9K

$165.4K

How much do healthcare data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for healthcare data engineer in Arizona is $120,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a healthcare data engineer?

A Healthcare Data Engineer is responsible for designing, building, and maintaining data infrastructure in the healthcare industry. They work with large datasets from electronic health records (EHRs), medical devices, and other sources to ensure data is stored, processed, and accessed efficiently. Their role includes developing data pipelines, ensuring compliance with healthcare data regulations (such as HIPAA), and optimizing data for analytics and machine learning. By enabling secure and efficient data management, Healthcare Data Engineers help improve patient care, streamline operations, and support medical research.

What are some typical projects or challenges a healthcare data engineer might face in their day-to-day work?

As a Healthcare Data Engineer, you may work on projects such as designing data pipelines to aggregate data from multiple EHR systems, ensuring data integrity and security throughout the process. A common challenge in this role is working with complex, sensitive datasets that must remain compliant with healthcare privacy regulations while still being accessible and useful for analysis. You’ll likely collaborate closely with data scientists, clinicians, and IT teams to understand data requirements and optimize system performance. Troubleshooting data quality issues and continuously improving data architecture are regular tasks, making adaptability and continuous learning important for ongoing success.

What are the key skills and qualifications needed to thrive as a healthcare data engineer, and why are they important?

To thrive as a Healthcare Data Engineer, you need a solid background in computer science, data modeling, and understanding of healthcare data standards, often supported by a relevant degree and experience with big data technologies. Proficiency in programming languages like SQL, Python or R, knowledge of data warehousing solutions, and familiarity with HIPAA regulations or health information systems are typically required, along with certifications such as AWS Certified Data Analytics or Certified Health Data Analyst (CHDA). Strong problem-solving abilities, attention to detail, and effective communication skills are highly valued for collaborating with cross-functional teams. These skills are essential for building secure, reliable data systems that support healthcare analytics and ensure regulatory compliance.

How do you become a healthcare data engineer?

To become a healthcare data engineer, one typically needs a bachelor's degree in computer science, data science, or a related field, along with experience in data management, programming languages like Python or SQL, and familiarity with healthcare data standards such as HL7 or FHIR. Gaining knowledge of healthcare regulations like HIPAA and obtaining relevant certifications can also enhance job prospects. Practical experience with data pipelines, cloud platforms, and database systems is essential for this role.

What are popular job titles related to Healthcare Data Engineer jobs in Arizona?

For Healthcare Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Engineer jobs in Arizona look for?

The top searched job categories for Healthcare Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Healthcare Data Engineer jobs?

Cities in Arizona with the most Healthcare Data Engineer job openings:

Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Arizona as of September 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $120,881 per year, or $58.1 per hour.

Data Engineer

MOUNTAIN PARK HEALTH CENTER

Phoenix, AZ

$108K - $130K/yr

Full-time

Posted 5 days ago

Mountain Park Health Center rating

6.8

Company rating: 6.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job 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.
  • Experience with Predictive Analytics
  • FHIR, HL7, API knowledge.
  • Healthcare experience.

What Mountain Park Health Center employees say

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