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Healthcare Data Engineer Jobs in Arizona (NOW HIRING)

Banner Health

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

We're proud to be recognized for our commitment to the latest health care advancements and ... You define the patterns and standards -- engineering teams build against them. This isn't a design ...

LA MESA RV INC

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Position Summary We are seeking a highly skilled Senior Data Engineer to design, build, and ... pay, healthcare coverage, 401K and so much more then APPLY TODAY to learn more!! Come join our ...

La Mesa RV

Senior Data Engineer (20187)

Phoenix, AZ · On-site

$97K - $132K/yr

Position Summary We are seeking a highly skilled Senior Data Engineer to design, build, and ... pay, healthcare coverage, 401K and so much more then APPLY TODAY to learn more!! Come join our ...

Banner Health

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

We're proud to be recognized for our commitment to the latest health care advancements and ... You define the patterns and standards -- engineering teams build against them. This isn't a design ...

Objectways

Data Engineer, Palantir Foundry

Phoenix, AZ · On-site

Implement data quality checks, health monitors, and incremental builds. * Apply Foundry's security model -- markings, projects, RBAC -- for governance and compliance. * Mentor engineers on Foundry ...

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Showing results 41-60

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 5, 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 August 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.

Staff Data Engineer

Choice Hotels International, Inc.

Phoenix, AZ • On-site

$120 - $160/hr

Other

Posted 5 days ago

Key responsibilities

  • Define and evolve the long‑term data architecture and technical standards across teams and platforms.

  • Design and oversee highly scalable, resilient, and cost‑efficient data systems using cloud technologies such as Amazon Web Services.

  • Lead complex, cross‑domain data initiatives that span multiple teams, systems, and business functions.

Job description

This role is not eligible for sponsorship AND is four days onsite hybrid at our N. Scottsdale office

Choice Hotels is looking for a Staff Data Engineer in its SkyTouch Technology division, responsible for driving enterprise‑wide data architectural maturity and influencing cross‑team initiatives.

Responsibilities
  • Define and evolve the long‑term data architecture and technical standards across teams and platforms.
  • Design and oversee highly scalable, resilient, and cost‑efficient data systems using cloud technologies such as Amazon Web Services.
  • Make principled trade‑offs between AWS‑managed services and open technologies (e.g., Spark, Flink, Iceberg) to ensure long‑term scalability and maintainability.
  • Lead complex, cross‑domain data initiatives that span multiple teams, systems, and business functions.
  • Serve as a technical authority and escalation point for complex data engineering challenges and architectural decisions.
  • Establish best practices for data quality, reliability, observability, security, and governance across the organization.
  • Drive alignment on data modeling, batch and real‑time integration patterns, and platform usage to reduce duplication and technical debt.
  • Partner with engineering, analytics, and business leaders to translate strategic goals into technical data solutions.
  • Mentor senior engineers and influence technical growth through design reviews, architectural forums, and technical guidance.
  • Use an AI‑first approach to mitigate systemic risks, improve engineering productivity focusing on automation and operational efficiency.
  • Balance near‑term delivery with long‑term platform health, scalability, and sustainability.
Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field.
  • Minimum of 8+ years of experience in data engineering, software engineering, or platform engineering roles.
  • Proven experience designing and evolving large‑scale, cloud‑based data platforms in AWS.
  • Experience leading cross‑team, multi‑system data initiatives with long‑term architectural impact.
  • Demonstrated ownership of mission‑critical production data systems.
  • Experience influencing technical direction across teams without direct people management.
  • Expert‑level knowledge of cloud data architectures and AWS data services.
  • Advanced data modeling and data warehousing design expertise.
  • Strong programming skills in Python, SQL, and/or Spark.
  • Deep understanding of distributed systems, performance tuning, and scalability.
  • Infrastructure‑as‑code, CI/CD, and automation expertise.
  • Ability to design scalable, fault‑tolerant, and cost‑efficient data architectures.
  • Strong knowledge of data quality, observability, and reliability practices.
  • Knowledge of data governance, security, and compliance best practices.
  • Strong debugging and root‑cause analysis skills across data pipelines and cloud infrastructure.
  • Experience designing for reliability, observability, fault tolerance, and cost efficiency at scale.
  • Experience implementing organization‑wide standards for data quality, security, and governance.
  • Experience identifying and reducing technical debt across data platforms.
  • Experience applying AI/GenAI in production to engineering workflows, automation, data quality, or developer productivity.
Team & Reporting
  • Individual‑contributor role reporting to the Manager of Software Engineering – Data.
  • Collaborates with 14 peer teammates and cross‑functional departments on a regular basis.

This role is not eligible for sponsorship

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