ZipRecruiter

Log In

1

Healthcare Data Engineer Jobs in Utah (NOW HIRING)

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 ... Competitive health benefits package. * Paid holidays and company events. * Competitive salary.

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 ... Competitive health benefits package. * Paid holidays and company events. * Competitive salary.

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 ... Competitive health benefits package. * Paid holidays and company events. * Competitive salary.

Chghealthcare

Staff React Engineer

Salt Lake City, UT · On-site +1

$146K - $282K/yr

Keeping healthcare healthy can be as fun as it is rewarding CHG Healthcare's Data & Analytics division is looking for a Staff React Engineer to join our Data & Analytics Platform team. The Data ...

New

PG Forsta

Staff Data Engineer ( Seattle/Provo Hybrid)

Provo, UT · On-site

$108K - $130K/yr

S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe ... We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal ...

Chghealthcare

React Engineer

Salt Lake City, UT · On-site +1

$83K - $160K/yr

Keeping healthcare healthy can be as fun as it is rewarding CHG Healthcare's Data & Analytics division is looking for an experienced React Engineer to join our Data & Analytics Platform team. The ...

New

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$140 - $180/hr

As a Software Engineer, Data, you will be the core engineer responsible for building, scaling, and ... Infant care leave * On-site gym/showers open 24/7 About Neighbor: Neighbor is the largest and most ...

Atlassian

Senior Data Engineer, DX

Salt Lake City, UT · On-site

$139 - $219/hr

At DX, we want to be very clear about what we care about and how we judge performance. For us, it ... Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To ...

Atlassian

Senior Data Engineer, DX

Magna, UT · On-site +1

$103K - $140K/yr

At DX, we want to be very clear about what we care about and how we judge performance. For us, it ... Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To ...

PCC Ltd

Staff Data Engineer

Salt Lake City, UT · On-site

What we're looking for- Strong EDW and data lake/lakehouse fundamentals in production -- Databricks ideally.- Healthcare PHI/HIPAA experience; EHR data experience a strong plus.- Proven hands-on dbt ...

Neighbor

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and ... Infant care leave * On-site gym/showers open 24/7 About Neighbor: Neighbor is the largest and most ...

Neighbor

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

As a Software Engineer, Data , you will be the core engineer responsible for building, scaling, and ... Infant care leave * On-site gym/showers open 24/7 About Neighbor: Neighbor is the largest and most ...

previous pagenext page

Showing results 21-40

All JobsHealthcare Data Engineer JobsHealthcare Data Engineer Jobs in Utah

Healthcare Data Engineer information

See Utah salary details

$40.5K

$118.1K

$161.6K

How much do healthcare data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for healthcare data engineer in Utah is $118,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $125,200.00 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 Utah?

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

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

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

Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.

AI Data Engineer

Atonom

Provo, UT • On-site

$50K - $90K/yr

Full-time

Medical, PTO

Re-posted 9 days ago

Job description

AI Data Engineer
Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years
ABOUT ATONOM
Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.
THE ROLE
As a AI Data Engineer, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.
WHAT YOU'LL DO
  • Configure and deploy AI Cloud Employees for customers, with a focus on data integrations, API connections, and workflow logic.
  • Join client calls to understand data environments and help translate business needs into AI workflows, including prompt design, data mappings, and QA checks.
  • Troubleshoot data and integration issues with support from senior team members. Trace problems, find root causes, and work toward solutions.
  • Document data patterns, integration playbooks, and technical reference materials that help the whole team move faster.
  • Share product feedback with Engineering and Product teams, including data handling gaps, integration limitations, and customer pain points.

WHO YOU ARE
  • Recent graduate (or soon to be) in Computer Science, Data Science, Software Engineering, Information Systems, or a related technical field. Self-taught candidates with a strong portfolio are also welcome.
  • Comfortable working with data. Maybe you've written SQL queries, built a small pipeline, worked with APIs, or cleaned up messy datasets in a class or side project.
  • Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how AI models work beyond surface-level usage.
  • A clear communicator who can walk non-technical teammates and clients through technical concepts without jargon.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS
  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)
  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN
  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS
  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.

Apply