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Data Modeler Jobs in Minnesota (NOW HIRING)

Champions data modeling best practices, improves enterprise data quality, and shapes the long-term direction of data architecture. The Senior Data Modeler leads collaboration with data architects ...

Modeling Ownership - Influence data standards, structure, and quality across the organization * Career Growth - Expand your Snowflake and enterprise data modeling expertise in a mature data ...

HighImpact Modeling Work - Design enterpriselevel data models that power analytics, reporting, and data products * Modern Cloud Stack - Work handson with Snowflake and cloudbased data platforms

HighImpact Modeling Work - Design enterpriselevel data models that power analytics, reporting, and data products * Modern Cloud Stack - Work handson with Snowflake and cloudbased data platforms

Modeling Ownership - Influence data standards, structure, and quality across the organization * Career Growth - Expand your Snowflake and enterprise data modeling expertise in a mature data ...

HighImpact Modeling Work - Design enterpriselevel data models that power analytics, reporting, and data products * Modern Cloud Stack - Work handson with Snowflake and cloudbased data platforms

Publish database change log, data model diagram and data dictionary reports to project team. * Guide and support developers while they are developing against the development database. * Support ...

Publish database change log, data model diagram and data dictionary reports to project team. * Guide and support developers while they are developing against the development database. * Support ...

Data Modeller

Minneapolis, MN

$57.25 - $74/hr

Experience on data modeling using Dimensional as well as ER-Model Have working Knowledge of Industry Standard Reporting/ETL tools. Having good PL SQL Skills Have good Banking and Financial Domain ...

Quantitative Modeler Manager - AML

Minneapolis, MN · On-site

$57.25 - $74/hr

Driving the full model-development lifecycle, from data exploration to pilot to production level models. * Creating robust model development documentation specific to U.S. Bank Model Risk Governance ...

Lead data modeling, data architecture, and data integration initiatives for large-scale healthcare datasets * Translate business requirements into conceptual, logical, and physical data models

Data Architect

Roseville, MN · On-site

$140K - $160K/yr

Establish canonical data models (e.g., Patient, Encounter, Claim, Revenue) * Reverse engineer and document the Avatar NX data model, including: * Table structures, relationships, and data flows

Data Architect

Roseville, MN · On-site

$140K - $160K/yr

Establish canonical data models (e.g., Patient, Encounter, Claim, Revenue) * Reverse engineer and document the Avatar NX data model, including: * Table structures, relationships, and data flows

Experience on data modeling using Dimensional as well as ER-Model Have working Knowledge of Industry Standard Reporting/ETL tools. Having good PL SQL Skills Have good Banking and Financial Domain ...

Experience on data modeling using Dimensional as well as ER-Model Have working Knowledge of Industry Standard Reporting/ETL tools. Having good PL SQL Skills Have good Banking and Financial Domain ...

Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

Establish scalable data modeling standards, including dimensional (star schema) and semantic modeling practices * Define environment and workspace strategies (dev, test, prod) to support reliable and ...

Data Architect

Minneapolis, MN · On-site

$90 - $130/hr

Translate business requirements, processes, and rules into logical and physical data models, source-to-target mappings, and data integration specifications. * Define and implement test data ...

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Data Modeler information

See Minnesota salary details

$10

$57

$81

How much do data modeler jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data modeler in Minnesota is $57.50, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $66.88 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.

What are the most commonly searched types of Data Modeler jobs in Minnesota?

The most popular types of Data Modeler jobs in Minnesota are:

What are popular job titles related to Data Modeler jobs in Minnesota?

For Data Modeler jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Modeler jobs in Minnesota look for?

The top searched job categories for Data Modeler jobs in Minnesota are:

What are popular job titles related to Data Modeler jobs in MN?

For Data Modeler jobs in MN, the most frequently searched job titles are:

Infographic showing various Data Modeler job openings in Minnesota as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $119,608 per year, or $57.5 per hour.

$80 - $120/hr

Other

Posted 11 days ago


Job description

Job Description
  • Experience in Data modeling, Data strategy, and Data architecture, developing linkages between systems and troubleshooting data flow processes.
  • Experience in identifying and maintaining structural solutions working with database administrators, system administrators, and developers to provide access to the data.
  • Demonstrate experience with creating/updating both tables and stored procedures using defined Configuration Management (CM) process through the development lifecycle.
  • Experience in using the defined CM process to take ad-hoc queries from a customer through to production.
  • Experience creating Power BI reports based on data residing in SQL Server and Oracle databases.
  • Troubleshoot application issues from the application data used in the back-end to the final output seen by the user over multiple servers.
  • Experience reviewing and mitigating STIGs on the application servers.
  • Experience designing and creating data models that represent the structure of data within an organization.
  • Translate business rules and requirements into conceptual, logical, and physical data models that serve as blueprints for database design and ensure data consistency and integrity.
  • Collaboration with Data Architects, database administrators, and developers to ensure that the data models align with business needs and technical constraints.
  • Demonstrate a deep understanding of data relationships, normalization, and database design principles.
  • Determine impacts on the performance and scalability of applications.
  • Ability to translate complex data into useful information structures that can be easily understood and leveraged.
  • Design and implement data models to meet the organizational needs.
  • Collaborate with business analysts and stakeholders to gather and analyze requirements.
  • Ensure data integrity, stability, and security across databases.
  • Establish and enforce data modeling standards and best practices.
  • Create and maintain metadata management and data governance.
  • Optimize and tune data models for performance.
  • Support database administrators and engineers in ongoing database tasks.
  • Conduct data model reviews and provide feedback for improvement.
  • Document and communicate data models and their specifications.
  • Use data modeling tools and software for model creation and management.
  • Stay current with industry trends and emerging technologies to keep data models updated.
Required Skills and Experiences
  • In-depth experience of designing and implementing information solutions.
  • Hands-on experience with implementing data and analytics management programs is preferred.
  • Three (3) to five (5) years' experience as a data analyst is highly desirable.
  • Effective conceptualization, pattern recognition and teaming skills.
  • Business acumen, and the ability to communicate to executives, business domain stakeholders and technical staff alike.
  • Demonstrated influence, communication, presentation and facilitation skills.
  • Experience with innovation and ideation methods, such as design thinking.
  • Business domain, data/content and process understanding.
  • System integration experience, including interface design, and familiarity with web-oriented architecture techniques.
  • Data modeling and information classification expertise at the enterprise level.
  • Understanding of common information architecture frameworks and information models.
  • Knowledge of Department of War (Dow) Enterprise Architecture artifacts a plus.
  • Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources.
  • Familiarity with data science concepts, as well as Meta Data Management (MDM), business intelligence, and data warehouse design and implementation techniques.
  • Experience with distributed management and analytics in cloud and hybrid environments.
  • Also, an understanding of a variety of data access and analytics approaches (for example, microservices and event-based architectures).
  • Knowledge of problem analysis, structured analysis and design, and programming techniques.
  • Ability to assess rapidly changing technologies and apply them to business needs.
  • Strong communication and persuasion skills, including the ability to create marketing and messaging materials that meet stakeholder needs.
  • Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers a plus.
  • In-depth understanding of solution, business, information and data architectures.
  • Ability to learn and absorb new concepts quickly (in business and in systems), apply new knowledge as appropriate, and mentor others.
  • Experience with a variety of data model tools.
  • Experience of Cloud managed service offering will be preferred.
  • Prior experience with Department of War (DoW) or Department of Navy (DON) a plus.
  • Specific Federal Law enforcement (LE) information domain knowledge or previous experience working in LE organizations a plus.
  • This position requires the person(s) to be eligible and adjudicated to TS/SCI clearance level at contract start.
  • Must be a U.S. citizen.
Degree Requirements
  • Bachelor's degree in computer science, information systems or a related study (or equivalent project-related experience). A minimum of ten (10) years of experience in IT, with at least five (5) years in information system design.
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