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Data Modeler Jobs in Utah (NOW HIRING)

Krux Analytics

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Architect scalable and high-performance data models to support multi-tenant SaaS analytics * Define best practices for dataset design, governance, and lifecycle management * Optimize model ...

Krux Analytics

Data Architect

Salt Lake City, UT · On-site

$61.25 - $78.75/hr

Architect scalable and high-performance data models to support multi-tenant SaaS analytics * Define best practices for dataset design, governance, and lifecycle management * Optimize model ...

BambooHR

Sr. Data Engineer

Draper, UT · Hybrid

$107K - $128K/yr

Develop and maintain canonical data models, facts, dimensions, feature datasets, business entities, metadata models, and domain-specific data products. * Design pipelines that ingest documents ...

Pwc

Data Engineer - Senior Manager

Salt Lake City, UT · On-site

$124K - $280K/yr

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. As part of the Data and ...

ParetoHealth

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

It will power ML model workflows using sensitive healthcare data and support model training and scoring, production monitoring, and business feedback loops. Key Responsibilities: * Design, implement ...

Breeze Airways

Data Engineer Staff

Cottonwood Heights, UT · On-site

$108K - $130K/yr

Model event-driven data flows by separating data flow from control flow logic to make timing, modes, and event handling explicit and reviewable.Software Development LifecycleChampion strong SDLC ...

Maverik Inc.

Sr Data Engineer

Salt Lake City, UT · Hybrid

$110K - $120K/yr

You'll build and maintain data pipelines, integrations, and data models while working hands-on with complex SQL/T-SQL, data warehousing, and enterprise data. This is an opportunity to take ownership ...

New

Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

The Business Intelligence Data Analyst designs and develops software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and ...

Chargezoom

Senior Product Manager - Data

Salt Lake City, UT · On-site

$100K - $140K/yr

The ideal candidate has experience and skills to understand data engineering, architecture, and modeling. Key Responsibilities - Own our strategic fintech data product, be the leader and champion for ...

Chargezoom

Senior Product Manager - Data

Salt Lake City, UT · Hybrid

$100K - $140K/yr

The ideal candidate has experience and skills to understand data engineering, architecture, and modeling. Key Responsibilities - Own our strategic fintech data product, be the leader and champion for ...

Packsize International

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Build and optimize data models, including advanced dimensional modeling and semantic layer design, to enable efficient querying and reporting.* Implement robust ETL/ELT processes using intermediate ...

Packsize

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Build and optimize data models, including advanced dimensional modeling and semantic layer design, to enable efficient querying and reporting. * Implement robust ETL/ELT processes using intermediate ...

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How much do data modeler jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data modeler in Utah is $53.45, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $62.16 per hour, depending on experience, location, and employer.

What is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What are the key skills and qualifications needed to thrive as a data modeler?

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.
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Data Modeler jobs near you
Infographic showing various Data Modeler job openings in Utah as of September 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $111,177 per year, or $53.5 per hour.

Senior Software Engineer- Big Data & MCP, Data Foundations

Salt Lake City, UT

RevSpring Inc
501 - 1,000 employees
Learn more about RevSpring Incexternal

$54 - $71.25/hr

Full-time

Re-posted 16 days ago

Job description

Job Title: Senior Software Engineer- Big Data amp; MCP, Data Foundations
Job Summary:
Essential Functions:
  • 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 amp; 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 amp; 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.
Minimum Requirements:
Specific Job Skills:
  • Data Engineering: 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. BigQuery experience is a plus.
  • Databases amp; SQL: 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).
  • Search amp; Indexing: Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
  • Backend amp; Data Services: 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.
  • Infrastructure amp; DevOps: 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 (3+ years of GCP experience preferred).
  • 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.
Education: Bachelor’s Degree
Experience: 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.
Supervision: N/A
Certifications: N/A
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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