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Healthcare Data Engineer Jobs in Utah (NOW HIRING)

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

... care-creating value for providers, health systems, and patients. At Xenter, you'll join an ... Past JobThe Sr. Data Engineer designs, builds, and maintains the pipelines, graph, and semantic ...

Data Engineer

Provo, UT

$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.

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

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

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

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.

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 ...

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.

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.

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

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Showing results 1-20

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 Jul 28, 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 job?

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 the key skills and qualifications needed to thrive in the Healthcare Data Engineer position, 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.

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 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:
Infographic showing various Healthcare Data Engineer job openings in Utah as of July 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $118,090 per year, or $56.8 per hour.
Senior Software Engineer- Big Data & MCP, Data Foundations

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Posted 28 days ago


Job description

Job Summary:
RevSpring is a company focused on providing innovative data solutions, and they are seeking a Senior Software Engineer specializing in Big Data and data foundations. The role involves designing and optimizing data pipelines, developing backend services, and ensuring data performance and quality in a healthcare context.
Responsibilities:
• Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
• Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
• Build Data Models & Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
• Optimize Data & Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing — optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
• Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
• Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.
Qualifications:
Required:
• Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses.
• 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
• Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output.
• Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
• Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms.
• Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
• Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
• Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
• Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.
• Bachelor’s Degree
• 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design).
• 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
• Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations.
• Ability to write reports, business correspondence and procedure manuals.
• Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Preferred:
• BigQuery experience is a plus.
• Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
• 3+ years of GCP experience preferred.
Company:
RevSpring is a provider of revenue cycle technology services offering data analytics, multi-channel customer communications. Founded in 1997, the company is headquartered in Wixom, USA, with a team of 501-1000 employees. The company is currently Late Stage.