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Healthcare Data Engineer Jobs in Utah (NOW HIRING)

ParetoHealth

Data Engineer

Salt Lake City, UT

$110K - $133K/yr

About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and ... The Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS ...

Posted today

Atonom

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

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

Data Engineer

Provo, UT · On-site

$50K - $90K/yr

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

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

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.

Red Cat Holdings, Inc.

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Today, our data lives across transactional databases, SaaS tools, and external APIs. Over the next ... care about proof you can ship and debug). * Solid engineering habits: Git, readable code, and a ...

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT

$105K - $126K/yr

Today, our data lives across transactional databases, SaaS tools, and external APIs. Over the next ... care about proof you can ship and debug). * Solid engineering habits: Git, readable code, and a ...

RED CAT HOLDINGS

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Today, our data lives across transactional databases, SaaS tools, and external APIs. Over the next ... care about proof you can ship and debug). * Solid engineering habits: Git, readable code, and a ...

Smarty

Data Engineer

Orem, UT · On-site

$100/hr

We are looking for a skilled Data Engineer to join our Business Intelligence team at Smarty, a ... Monitor pipeline health via AWS CloudWatch, respond to failures, and maintain data quality through ...

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

$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

$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.

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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 Aug 19, 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, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.

Data Engineer

ParetoHealth

Salt Lake City, UT

$110K - $133K/yr

Full-time

Posted 15 hours ago

Posted today

Job description

About ParetoHealth

ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model.

Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs.

By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people.

Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another.

If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you.

Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future.

Position Summary:

The Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS that make high‑quality, analytics‑ready data available to our Analytics and AI teams. This role will own ingestion, transformation, and storage patterns using services such as Lambda, Glue, Athena, and S3, ensuring data is reliable, well‑documented, and aligned with business and model‑training needs.

Key Responsibilities:
  • Design, implement, and maintain scalable, fully serverless data pipelines on AWS using Lambda, Glue, Athena, Step Functions, and S3 to support reporting, analytics, and AI use cases.
  • Build and evolve data models and schemas that enable performant querying and downstream consumption by Analytics, Data Science, and AI engineering teams.
  • Develop ETL/ELT workflows to ingest, cleanse, transform, and load data from internal applications, third‑party sources, and event streams into our data lake and analytical layers.
  • Partner closely with Product, Underwriting, Analytics, and AI stakeholders to understand data requirements and translate them into robust data structures, contracts, and SLAs.
  • Implement data quality controls, monitoring, and alerting to ensure accuracy, completeness, timeliness, and lineage of critical datasets and features used by models.
  • Optimize serverless workloads for cost, performance, and scalability, including query tuning in Athena and efficient storage formats/partitioning in S3.
  • Contribute to and enforce data engineering best practices, including version control, code review, CI/CD for data pipelines, and Infrastructure as Code with AWS CDK.
  • Collaborate with Analytics and AI teams to design and maintain feature stores and other reusable data assets that accelerate experimentation and model deployment.
  • Troubleshoot pipeline issues, resolve data‑related incidents, and provide ongoing support for production data workflows and model‑driven applications.
  • Document data models, pipelines, and data contracts, and help evangelize data literacy and self‑service analytics across the organization.
Required Qualifications / Skills:
  • Strong experience with AWS data and serverless services (Lambda, Glue, Athena, S3, Step Functions or similar orchestration tools).
  • Proficiency in Python and TypeScript or a similar language for data engineering, including building ETL/ELT jobs and reusable libraries.
  • Solid understanding of data modeling principles (dimensional, normalized, wide‑table, and event‑driven designs) for analytics and AI workloads.
  • Experience designing and operating data pipelines at scale, including batch and near‑real‑time ingestion.
  • Familiarity with SQL and query optimization in columnar data stores and engines such as Athena.
  • Knowledge of data quality, governance, and security practices, including handling sensitive healthcare and financial data.
  • Hands‑on experience with Infrastructure as Code, preferably AWS CDK, for provisioning and managing data infrastructure.
  • Ability to collaborate with Analytics and AI teams, understand model data needs, and design data solutions that enable experimentation and productionization.
  • Strong communication skills and the ability to translate complex data concepts into clear, actionable language for business stakeholders.
Minimum Requirements:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
  • 3+ years of experience in data engineering or software engineering roles focused on data pipelines and analytics platforms.
  • 2+ years of hands‑on experience with AWS data services in a production environment (e.g., Lambda, Glue, Athena, S3).
  • Experience building and maintaining data solutions that support analytics, BI, and/or AI/ML initiatives.

Perks & Benefits:

  • Fully paid medical, dental, and vision benefits.
  • Flexible PTO
  • 401k company contribution
  • Tuition reimbursement
  • Professional development allowance
  • Transportation allowance and daily parking reimbursement
  • Engaging hybrid work environment
We are guided by our values:

Fire in the belly

The drive to learn, to improve, and to deliver outstanding value every day.

See the field

The ability to see the big picture and prepare to meet tomorrow's needs.

Get it done right

The passion to produce at higher rates and to the highest standards.

For the greater good

A united community creating better health benefit solutions for all.

Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address.Disclosures:ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients.California Applicants: See Pareto's CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, "Pareto") collects and uses personal information submitted by employment applicants.