1

Data Modeler Jobs in Utah (NOW HIRING)

Sr. Data & Integrations Engineer

Sandy, UT · On-site

$108K - $130K/yr

Design enterprise data models, schemas, and documentation to support BI, reporting, and downstream analytics * Establish data standards, naming conventions, governance policies, and quality ...

Design enterprise data models, schemas, and documentation to support BI, reporting, and downstream analytics * Establish data standards, naming conventions, governance policies, and quality ...

Sr. Data & Integrations Engineer

Sandy, UT · On-site

$108K - $130K/yr

Design enterprise data models, schemas, and documentation to support BI, reporting, and downstream analytics * Establish data standards, naming conventions, governance policies, and quality ...

Design Data Models: Develop and maintain data marts, semantic models, and curated datasets that support analytics products, reporting, and business intelligence initiatives. * Ensure Data Quality ...

New

Senior Data Engineer

Provo, UT · On-site

$100K - $136K/yr

Own data modeling and architecture. Design and maintain robust data models to support analytics and self-service BI. Define and document modeling standards and apply them consistently across the ...

As a Manager you can lead the development of data models, support compliance with data governance policies, and collaborate with business stakeholders to translate data requirements into technical ...

Data Engineer

Provo, UT · On-site

$109K - $131K/yr

... models, tests, macros, and incremental materializations • Production Snowflake experience: schema design, performance tuning, and warehouse/cost optimization • AWS data services (e.g., S3, Glue ...

Data Engineers

Salt Lake City, UT · On-site

$99K - $124K/yr

This includes data modeling (conceptual, logical, and physical), schema design, indexing strategies, performance tuning, backup and recovery planning, and ensuring data integrity and consistency.

Data Engineers

Salt Lake City, UT · On-site +1

$110K - $133K/yr

This includes data modeling (conceptual, logical, and physical), schema design, indexing strategies, performance tuning, backup and recovery planning, and ensuring data integrity and consistency.

Data Engineer

Sandy, UT · On-site

$108K - $130K/yr

Design, develop, and maintain data pipelines, data models, and automated workflows * Develop and maintain reporting solutions using Power BI, SSRS, or similar tools * Build and maintain SQL-based ...

Data Architect

Lehi, UT

$210K - $230K/yr

Oversee the design and governance of our Snowflake-based data platform, including data modeling, ingestion pipelines, and access patterns. * Ensure systems are optimized for performance, reliability ...

Perform complex data analysis, statistical modeling, and predictive analytics using SQL, R, and Python. * Build and maintain dashboards, reports, and visualizations in Power BI to ensure clarity ...

Data Engineer

Draper, UT

$100K - $114K/yr

Integrate, transform, and consolidate data from structured and unstructured sources into models that support analytics, reporting, and machine learning * Identify and evaluate external data sources ...

Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools. * Build high quality solutions and assets aligned to defined ...

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 ...

next page

Showing results 1-20

Data Modeler information

See Utah salary details

$9

$53

$75

How much do data modeler jobs pay per hour?

As of Jun 12, 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.

Will AI replace data modelers?

AI tools can automate certain tasks in data modeling, such as generating schemas or analyzing data patterns, but data modelers are essential for designing complex data structures, understanding business requirements, and ensuring data quality. The role is evolving to include working alongside AI and developing skills in data architecture and tools like ER diagrams and modeling software.

What are Data Modelers?

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.

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.

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.

What are the key skills and qualifications needed to thrive as a Data Modeler, and why are they important?

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 is the work of data modeler?

A data modeler designs and creates data structures and schemas to organize and store data efficiently for databases and information systems. They analyze business requirements, develop data models using tools like ER diagrams, and ensure data integrity and consistency. Strong knowledge of database management systems and data modeling techniques is essential for this role.

What Is the Job of a Data Modeler?

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 jobs in the US pay $300,000 a year?

Data Modelers with extensive experience, advanced skills in data architecture, and certifications such as Certified Data Management Professional (CDMP) can reach salaries around $300,000 annually, especially in senior or specialized roles within large organizations. High-paying roles often require expertise in database design, programming, and familiarity with tools like SQL, Python, or cloud platforms, along with a strong understanding of business needs and data governance.
What are the most commonly searched types of Data Modeler jobs in Utah? The most popular types of Data Modeler jobs in Utah are:
What are popular job titles related to Data Modeler jobs in Utah? For Data Modeler jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Data Modeler jobs? Cities in Utah with the most Data Modeler job openings:
What are popular job titles related to Data Modeler jobs in UT? For Data Modeler jobs in UT, the most frequently searched job titles are:
Sr. Data & Integrations Engineer

Sr. Data & Integrations Engineer

Diversify

Sandy, UT • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

About Us

Diversify is the future of wealth management. Founded by seasoned advisors and industry leaders, Diversify has developed institutional-grade resources, complemented by the personal attention and support that defines a true partnership.

We strive to cultivate a family-like culture, an institutional platform and an immersive experience that enables advisors and wealth management firms to differentiate themselves, retain their entrepreneurial autonomy, and, most importantly, protect and serve clients effectively.

Learn more about us at https://diversify.com.


About the Position:

As a Senior Integrations Engineer (Data Architecture Focus), you will own the design and governance of enterprise integrations and data architecture that connect our systems and power analytics, reporting, and operations. You'll partner closely with data, finance, product, and engineering teams to ensure our data ecosystem is scalable, reliable, secure, and well-structured.

This role is ideal for a senior technologist who blends systems integration expertise with strong data architecture judgment. This is a full-time in-office position at our headquarters in Sandy Utah. Hybrid work is an option for the right candidate.


Your Impact:

Integration & Data Architecture

  • Architect and deliver enterprise-grade integrations using iPaaS platforms, middleware, APIs, and event-driven patterns
  • Design and maintain ETL/ELT pipelines and real-time data flows that support operational and analytics use cases
  • Define and enforce integration and data architecture standards, patterns, and best practices
  • Ensure reliability, observability, security, and scalability across all integration and data workflows

Data Modeling & Governance

  • Design enterprise data models, schemas, and documentation to support BI, reporting, and downstream analytics
  • Establish data standards, naming conventions, governance policies, and quality validation across integrated systems
  • Architect data warehouse and lakehouse structures aligned to integration outputs and analytics needs
  • Lead architecture reviews for new systems, vendors, and integrations

Leadership & Collaboration

  • Partner cross-functionally to translate business requirements into integration and data architecture solutions
  • Serve as a technical mentor and escalation point for engineers
  • Evaluate and drive adoption of new integration, data, and platform technologies
  • Maintain clear documentation of architectures, data flows, and operational runbooks


Who You Are:

  • 6+ years of experience in integrations, data engineering, or data architecture, including 2+ years in a senior or lead role
  • Strong experience with iPaaS and integration platforms (e.g., MuleSoft, Boomi, Workato, Azure Integration Services)
  • Proven expertise designing data warehouses or lakehouse architectures (e.g., Snowflake, Databricks, Redshift)
  • Strong communicator able to explain complex integration and data concepts to technical and non-technical audiences
  • Detail-oriented, analytical, and skilled at resolving data and integration challenges
  • Experience in financial services, wealth management, or regulated environments preferred


Your Toolkit:

  • SQL and advanced data modeling (relational, dimensional, NoSQL)
  • ETL/ELT tools and frameworks (dbt, Fivetran, Informatica, Talend)
  • APIs, event streaming, and messaging (REST/SOAP, Kafka, EventBridge)
  • Cloud-native architectures on AWS, Azure, or GCP
  • Programming/scripting (Python, Java, Node.js)
  • CI/CD, microservices, containerization (Docker/Kubernetes)
  • Data governance, cataloging, and metadata tools (e.g., Alation, Collibra)
  • Security and compliance standards (SOC 2, GDPR, HIPAA)
  • Familiarity with MDM concepts and tools
  • Relevant certifications a plus


Benefits:

  • Core Benefits- Medical with HSA and FSA options, dental, and vision.
  • Preparing for Your Future - 401(k) with a generous company match, access to a personal financial planner, and unique investment options.
  • Great Team Culture - Team members consistently rave about having great colleagues.
  • Time Off - We value family, giving back, making a positive impact in society, and creating time to enjoy life. You will enjoy 4 weeks paid time off, 12 paid holidays,and 2 days for giving back.

Join Us Now!

If you are ready to fast-track your career, make meaningful connections, and embark on a thrilling journey, apply now!


We demonstrate and act with complete and unconditional honesty and adhering to principles of sound ethics. After accepting an offer of employment, all candidates will go through a pre-employment background check, credit check, and pre-employment drug screen. Diversify is an Equal Opportunity Employer.