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Data Modeling Jobs in Minnesota (NOW HIRING)

Senior Data Modeler

Bemidji, MN ยท Remote

$40/hr

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 ...

Data Modeller

Minneapolis, MN ยท On-site

$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 ...

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 ...

Principal Data Analyst

Eden Prairie, MN ยท On-site

$60 - $65/hr

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

Hands on working exp in understanding business requirements, business rules and data requirements from Data modeling perspective. * Analyze the requirements; construct the conceptual/logical model to ...

Hands on working exp in understanding business requirements, business rules and data requirements from Data modeling perspective * Analyze the requirements; construct the conceptual/logical model to ...

Data Architect

Roseville, MN ยท 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 ยท 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

Minneapolis, MN ยท 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 ...

Test Data Architect

Minneapolis, MN ยท On-site

$66.50 - $85.50/hr

Interviews will be highly technical, focusing on enterprise data architecture, data modeling, integration patterns, high-quality application testing, modernization, mainframe data structures, files ...

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Data Modeling information

See Minnesota salary details

$10

$57

$81

How much do data modeling jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data modeling 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 modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

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 advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.
Infographic showing various Data Modeling job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,608 per year, or $57.5 per hour.

$80 - $120/hr

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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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