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Data Operations Jobs in Utah (NOW HIRING)

Revver

Director of GTM Systems & Automations

Lehi, UT · On-site

Data Operations * GTM Strategy You will build scalable operational systems that improve how sales, marketing, customer success, and leadership operate every day. This role is ideal for someone who ...

KēSTA I.T.

Data Scientist

Lehi, UT · On-site

$120K - $145K/yr

This role focuses on applying machine learning and predictive modeling techniques to improve operational performance and decision-making. You will be part of a broader data science function ...

Waystar

Data Scientist

Lehi, UT · On-site

Responsibilities : • Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning ...

Crew Career Center

Data Scientist

Lehi, UT

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Waystar

Data Scientist

Lehi, UT · On-site

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Patientco

Data Scientist

Lehi, UT · On-site

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

AutoSavvy

Data Engineer

Woods Cross, UT · Remote

$108K - $129.70K/yr

We leverage data and internal systems to drive operational efficiency, pricing strategy, and decision-making across the business. We are looking for a Data Engineer to help scale our internal data ...

University of Utah

Data Architects

Salt Lake City, UT · Hybrid

$95K - $115K/yr

Familiarity with clinical and operational workflows and an understanding of how EHR configuration decisions impact downstream data capture and availability. * Proven ability to partner directly with ...

Paychex

Data Engineer

Salt Lake City, UT

$99.60K - $156.50K/yr

Provide operational support and troubleshooting for existing processes and systems * Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and ...

University of Utah

Data Architects

Salt Lake City, UT · On-site

$95K - $115K/yr

Familiarity with clinical and operational workflows and an understanding of how EHR configuration decisions impact downstream data capture and availability. * Proven ability to partner directly with ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site +1

$110.80K - $133.10K/yr

Balance innovation with operational excellence by maintaining and optimizing existing services ... This includes developing and exposing data through APIs, building and maintaining multi-dimensional ...

University of Utah

Data Engineers

Salt Lake City, UT · On-site

$99.86K - $124.28K/yr

You'll lead the design of scalable data systems, define and enforce architecture standards, and ... Balance innovation with operational excellence by maintaining and optimizing existing services ...

Pwc

MDM PIM Manager

Salt Lake City, UT

$99K - $232K/yr

Those in data quality and operations at PwC will focus on the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your work will involve ...

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Data Operations information

See Utah salary details

$47.3K

$117K

$182.1K

How much do data operations jobs pay per year?

As of May 31, 2026, the average yearly pay for data operations in Utah is $117,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $148,800.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.
More about Data Operations jobs
What are the most commonly searched types of Data Operations jobs in Utah? The most popular types of Data Operations jobs in Utah are:
What are popular job titles related to Data Operations jobs in Utah? For Data Operations jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Utah look for? The top searched job categories for Data Operations jobs in Utah are:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Utah as of May 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $117,006 per year, or $56.3 per hour.

Data Architect (Data Platform)

RevSpring Inc

Salt Lake City, UT

$61.75 - $79.25/hr

Full-time

Posted 26 days ago

Job description

Job Title: Data Architect (Data Platform)
Job Summary:
As a Data Architect for healthcare applications, you are responsible for innovating, designing and managing scalable, secure, and interoperable data systems that support clinical, operational, and financial workflows. This role focuses on structuring complex healthcare data from electronic health records (EHRs) to healthcare financial data into cohesive architectures that enable accurate reporting, analytics, and patient care insights. This role will ensure compliance with healthcare regulations such as HIPAA, implement industry standards like HL7 and FHIR for seamless data exchange, and establish strong data governance, quality, and security practices such as HITRUST. By aligning data strategy with organizational goals, this role plays a critical part in improving data accessibility, reliability, and ultimately patient outcomes.
Data Modeling amp; Design
You need to be fluent in conceptual, logical, and physical data modeling. That includes understanding normalization vs. denormalization, dimensional modeling (star/snowflake schemas), and designing for scalability and performance.
Database amp; Storage Expertise
Deep knowledge of both relational and non-relational systems is critical. This also means familiarity with data lakes, lakehouses, and distributed storage systems/warehouses (e.g., S3, Delta Lake, BigQuery)
Data Integration
Designing pipelines that move and transform data reliably. This includes experience with ETL/ELT tools (DBT), streaming systems (Kafka, Kinesis), and orchestration frameworks (Airflow, etc.) with the ability to understand batch vs. real-time tradeoffs
Performance Optimization
Indexing strategies, partitioning, query tuning, and workload. The ability to architect for scale, resiliency and business continuity.
Strategic Thinking
Beyond solving today’s problems, you will define our data strategy including:
  • Define what the future data architecture should look like
  • Determine how and where to reduce technical debt
  • Identify how to enable analytics insights, incorporate AI, and drive self-service?
Artificial Intelligence (AI)
  • Define and evolve data architectures that support AI/ML workloads, including curated training datasets, feature stores, and scalable pipelines for batch and real-time inference
  • Define and evolve data architectures that leverage AI to drive greater operational efficiency, reduce system complexity, and accelerate the ingestion and processing of healthcare data across platforms
  • Design scalable pipelines and platforms (e.g., lakehouse, streaming, feature stores) that enable faster data availability for AI-driven insights and real-time decision support
Minimum Requirements:
Specific Job Skills:
  • 12+ years of software engineering experience, including hands-on technical experience building, maintaining and scaling data systems.
  • 5+ years of experience as a tech lead who successfully converts business / product requirements into well architecture designs.
  • Extensive experience in building and scaling large data pipelines including real time processing and / or 100+ GB transformation in Java, Python, DBT, and SQL.
  • Extensive experience in building and driving large business outcomes by leveraging a combination of existing and new technologies.
  • A deep knowledge of common data technology stacks such as GCP BigQuery, Snowflake, Databricks, DBT, Datalake architecture on AWS S3 or GCP Cloud storage.
  • A deep knowledge in cloud platforms such as AWS, GCP, or Azure, and cloud-native API solutions.
  • Deep knowledge of data modeling and data governance control
  • Strong RESTful API design principle, microservices architecture, distributed asynchronous system and good design patterns
  • Strong knowledge with CI/CD pipelines (CircleCI, Github Action), containerization (Docker, Kubernetes), and version control (Git), infrastructure as code (Pulumi, Terraform), Relational and NoSQL databases, caching mechanisms (Redis, Memcached), and performance optimization techniques.
  • Strong leadership and communication skills, with the ability to influence cross-functional teams and communicate complex technical details to upper management and non-technical stakeholders.
  • Proven problem-solving ability with a focus on delivering solutions
  • Positive attitude: Maintaining a constructive approach to work challenges.
Language Skills:
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.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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