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Data Modeler Jobs in Utah (NOW HIRING)

Crew Career Center

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Support semantic modeling and reporting initiatives across business domains * Contribute to the standardization of enterprise metrics and reporting assets Data Quality, Observability & Reliability

Patientco

Senior Data Engineer

Lehi, UT · On-site

$99K - $135K/yr

Support semantic modeling and reporting initiatives across business domains * Contribute to the standardization of enterprise metrics and reporting assets Data Quality, Observability & Reliability

Imh

Data Architect - Staff

West Valley City, UT · On-site +1

$44.36 - $69.85/hr

Data modeling and documentation * Coding/Programming * Data governance and security * Collaboration and stakeholder management * Leadership and project management Qualifications Minimum ...

GoEngineer

Data and Analytics Manager

Midvale, UT · On-site

$130K - $145K/yr

Lead data warehousing, ETL/ELT, semantic modeling, and governance practices that deliver scalable, reliable data assets. * Establish practices for data quality, lineage, consistency, monitoring, and ...

Pwc

AI & GenAI Data Scientist - Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the ...

Sunwest Bank

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Support enterprise analytics and reporting initiatives through well-structured data models and lakehouse architecture. What We're Looking For (Required) * 5-10 years of experience in data engineering ...

Sunwest Bank

Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Support enterprise analytics and reporting initiatives through well‑structured data models and lakehouse architecture. What We're Looking For (Required) * 5-10 years of experience in data ...

Jobtailor

Staff Data Architect

West Valley City, UT · On-site

Deliver robust data models, pipelines, and warehouses using SQL, Python, PySpark, and traditional RDBMS platforms * Apply product, project, or program management methodologies to data architecture ...

BambooHR

Sr. Product Manager, Core Data Platform

Draper, UT · Hybrid

$118K - $156K/yr

Know at any point how complete the model is, where gaps exist, and what is blocking progress. * Work closely with AI platform teams to ensure the data model serves as a reliable foundation for AI ...

Kavaliro

Data Engineer

Salt Lake City, UT · On-site

$100K - $135K/yr

Design data models for optimal storage and retrieval that represent the tangible business domains across ecosystem. * Coordinate closely with the Operations, Sales, and Product Development teams ...

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Data Modeler information

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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 Data Engineer

Lehi, UT • On-site

Crew Career Center
See more jobs at Crew Career Centerexternal

$99K - $135K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago

Job description

ABOUT THIS POSITION

Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud Platform (GCP).
This is a senior individual contributor role focused on designing, building, and optimizing scalable data solutions that enable analytics, reporting, governance, and AI initiatives across the enterprise. The ideal candidate is a hands-on engineer with deep technical expertise in cloud data platforms, data modeling, ELT development, and modern engineering practices.
You will work across the full data lifecycle, from data ingestion and transformation to orchestration, quality, observability, and governance, helping deliver trusted and scalable data products that support business decision-making.

WHAT YOU'LL DO

Data Pipeline Development & Optimization

  • Design, build, and maintain scalable ELT pipelines into BigQuery using Fivetran, APIs, Python, and cloud-native services
  • Develop and optimize bronze, silver, and gold data layers following Medallion Architecture principles
  • Create and maintain reusable dbt models that support enterprise reporting, analytics, and self-service use cases
  • Design and implement scalable ingestion patterns for structured and semi-structured data
  • Troubleshoot and resolve complex data pipeline, transformation, and performance issues
  • Improve pipeline reliability, performance, scalability, and maintainability

Data Modeling & Analytics Enablement

  • Design and implement scalable data models supporting business intelligence, analytics, and operational reporting
  • Partner with business analysts, product owners, and stakeholders to understand and translate requirements into technical solutions
  • Develop reusable business-focused datasets and metrics aligned with enterprise standards
  • Support semantic modeling and reporting initiatives across business domains
  • Contribute to the standardization of enterprise metrics and reporting assets

Data Quality, Observability & Reliability

  • Implement automated data validation, testing, and data quality checks
  • Develop monitoring, alerting, and observability capabilities across the data platform
  • Investigate and resolve data anomalies, processing issues, and performance bottlenecks
  • Support operational excellence through logging, incident analysis, and root cause investigations
  • Ensure data consistency, accuracy, and reliability across ingestion and transformation processes

Platform Engineering & Automation

  • Develop and maintain orchestration workflows using Cloud Composer (Managed Airflow)
  • Contribute to CI/CD pipelines using GitHub and modern deployment practices
  • Support Infrastructure-as-Code initiatives using Terraform and platform automation tools
  • Improve engineering efficiency through automation, reusable components, and standard development patterns
  • Participate in platform optimization and modernization initiatives

Data Governance & Security

  • Support data classification, lineage, metadata management, and governance initiatives
  • Implement secure access controls and data protection practices aligned with enterprise standards
  • Partner with Data Governance teams to improve data discoverability and trust
  • Ensure compliance with regulatory, privacy, and security requirements
  • Contribute to documentation and operational standards for enterprise data assets

Collaboration & Continuous Improvement

  • Collaborate with engineers, architects, analysts, and business stakeholders across multiple domains
  • Participate in technical design reviews and engineering discussions
  • Perform peer code reviews and support engineering quality standards
  • Contribute to documentation, knowledge sharing, and reusable engineering practices
  • Evaluate new technologies and recommend platform improvements where appropriate

WHAT YOU'LL NEED

  • Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field
  • 5+ years of experience in Data Engineering or a related technical discipline
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Advanced expertise in BigQuery
  • Strong experience with dbt and modern ELT development practices
  • Advanced SQL development and query optimization skills
  • Strong Python programming experience
  • Experience building scalable data pipelines and transformation frameworks
  • Experience working with APIs and data integration patterns
  • Experience with workflow orchestration tools such as Airflow or Cloud Composer
  • Experience with GitHub, source control, and CI/CD development practices
  • Strong understanding of dimensional modeling and analytics engineering concepts
  • Strong troubleshooting, problem-solving, and analytical skills
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience supporting enterprise-scale data modernization programs
  • Experience migrating workloads from Snowflake, Azure, SQL Server, Teradata, or other platforms to BigQuery
  • Experience with Terraform and Infrastructure-as-Code practices
  • Familiarity with Google Dataplex, Knowledge Catalog, or metadata management solutions
  • Experience with Cloud Run, Cloud Functions, or serverless technologies
  • Experience implementing data quality, testing, and observability frameworks
  • Experience supporting healthcare, payments, or regulated industry environments
  • Familiarity with Data Mesh and domain-driven data ownership concepts
  • Experience supporting AI, machine learning, or advanced analytics initiatives

Competencies Overview

  • Cloud Data Engineering (GCP / BigQuery) - Advanced
  • ELT Pipeline Development - Advanced
  • Data Modeling & Analytics Engineering - Advanced
  • SQL & Query Optimization - Advanced
  • Python Development - Advanced
  • Data Quality & Observability - Advanced
  • Data Governance & Security - Strong
  • Problem Solving & Troubleshooting - Advanced
  • Collaboration & Stakeholder Partnership - Strong
  • Delivery Execution & Accountability - Strong

Skills Overview

Core Technologies

  • Google Cloud Platform (GCP)
  • BigQuery
  • dbt / dbt Cloud
  • Fivetran
  • Python
  • SQL
  • GitHub
  • Cloud Composer (Managed Airflow)
  • Cloud Functions
  • REST APIs and Data Integration Frameworks
  • CI/CD Pipelines

Preferred Technologies

  • Terraform
  • Dataplex
  • Knowledge Catalog
  • Cloud Run
  • Snowflake
  • Azure Data Factory (ADF)
  • Data Quality & Observability Platforms
  • Metadata Management Solutions

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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