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Data Modeling Jobs in Minnesota (NOW HIRING)

Protolabs

Data Architect

Maple Plain, MN · On-site

$66 - $85/hr

Design and implement enterprise data models, schemas, and structures supporting analytical, operational, and reporting use cases * Architect, build, and maintain data products and reusable data ...

Pivot Bio

Director, Data Architect

Minnetonka, MN · On-site

$65 - $83.50/hr

Data modeling expertise: Dimensional modeling, normalized schemas, graph databases, and domain-driven design * Modern data stack: Databricks (preferred), ETL/ELT tools, streaming technologies, and BI ...

Pivot Bio

Director, Data Architect

Minnetonka, MN

$65 - $83.50/hr

Data modeling expertise: Dimensional modeling, normalized schemas, graph databases, and domain-driven design * Modern data stack: Databricks (preferred), ETL/ELT tools, streaming technologies, and BI ...

Pivot Bio

Director, Data Architect

Minneapolis, MN · On-site

$66.50 - $85.50/hr

... models, and GenAI applications • Own data quality and availability across modeling, enrichment, and accessibility for all stakeholders • Validate architectures hands-on through POCs ...

Pivot Bio

Director, Data Architect

Minnetonka, MN · On-site

$65 - $83.50/hr

... models, and GenAI applications • Own data quality and availability across modeling, enrichment, and accessibility for all stakeholders • Validate architectures hands-on through POCs ...

Dlapiper

Sr Data Analyst

Minneapolis, MN · Hybrid

$89.99K - $143.09K/yr

The Senior Data Analyst uses tools such as Power BI to deliver high-impact analytics, reporting, and dashboards; develop complex data models; and identify and resolve data quality issues. This ...

Ames Construction

Data Analyst

Burnsville, MN

Help design and publish data models, schemas, and storage to simplify data access for business users. Support the creation and maintenance of reports and dashboards using Power BI, other ...

HealthPartners

Data Analyst Senior

Bloomington, MN

$86.40K - $109K/yr

All team members must champion and model our values of partnership, curiosity, compassion ... Ensure data accuracy, accessibility, and quality; contribute to data governance and stewardship ...

HealthPartners

Data Analyst Senior

Bloomington, MN · On-site

$44.72 - $67.08/hr

All team members must champion and model our values of partnership, curiosity, compassion ... Ensure data accuracy, accessibility, and quality; contribute to data governance and stewardship ...

HealthPartners

Data Analyst Senior

Bloomington, MN

$86.40K - $109K/yr

All team members must champion and model our values of partnership, curiosity, compassion ... Ensure data accuracy, accessibility, and quality; contribute to data governance and stewardship ...

Nastech Global

AWS Cloud Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Solid understanding of relational and dimensional data modeling. * Good Python programming skills. * Experience sourcing and exposing data via Rest API. * Applications Integration experience.

Sarian, Inc.

AWS Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Solid understanding of relational and dimensional data modeling. * Good Python programming skills. * Experience sourcing and exposing data via Rest API. * Applications Integration experience.

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How much do data modeling jobs pay per hour?

As of May 29, 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 job?

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 are the key skills and qualifications needed to thrive in the Data Modeling position, 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.

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 four types of data modeling?

Data modeling in data analysis and database design typically includes four main types: conceptual, logical, physical, and dimensional modeling. Conceptual models define high-level data structures, logical models specify detailed structures without physical considerations, physical models translate logical models into actual database schemas, and dimensional models are used in data warehousing for analytical purposes. Data modelers often use tools like ER diagrams and require understanding of database systems and business requirements.
More about Data Modeling jobs
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What job categories do people searching Data Modeling jobs in Minnesota look for? The top searched job categories for Data Modeling jobs in Minnesota are:
Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Minnesota as of May 2026, with employment types broken down into 2% Internship, 75% Full Time, 18% Part Time, 3% Temporary, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $119,608 per year, or $57.5 per hour.
Data Architect

Data Architect

Protolabs

Maple Plain, MN • On-site

$66 - $85/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Protolabs rating

9.0

Company rating: 9.0 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

2nd of 76 rated plastic manufacturers

Job description

Be yourself at Protolabs 
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams. 
 
Why Protolabs? 
We are the leaders in digital manufacturing.  We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit.  Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds.  We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do.  It's our people who fuel our creativity and make our culture feel like home. 

Join our team as a Data Architect!

This is a fixed hybrid role on-site Tuesday, Wednesday, Thursday at HQ in Maple Plain MN

The Data Architect designs and evolves the company's enterprise data architecture to power analytics, reporting, and datadriven decision making. This role defines the technical data roadmap, builds scalable and reusable data assets, and develops semantic layers that enable meaningful insights across the organization. As a key partner to analytics and visualization teams, the Data Architect plays a critical role in the company's transition to a modern data lake platform, ensuring data quality, performance, governance, and longterm scalability. Through this work, the role strengthens the value, reliability, and strategic impact of the company's data and analytics capabilities.

What You'll Do
  • Define and maintain the technical data architecture roadmap, aligned with business and analytics strategy
  • Design and implement enterprise data models, schemas, and structures supporting analytical, operational, and reporting use cases
  • Architect, build, and maintain data products and reusable data products to enable consistent, self-service analytics and visualization
  • Lead and contribute to the strategic migration to a modern data warehouse, including architecture design, data modeling standards, and integration patterns
  • Design, develop, test, document, and support data pipelines, transformations, and data access layers of moderate to high complexity
  • Perform and participate in data analysis, system design, and architecture reviews in preparation for new data platforms and analytics initiatives
  • Provide technical guidance and mentorship to less experienced engineers and analysts as appropriate to responsibility level
  • Collaborate effectively with engineers, developers, analysts, product owners, and management across disciplines
  • Work from architectural designs and specifications using established standards and best practices to maintain and enhance existing data platforms
  • Assist with the design and development of more complex data solutions in partnership with senior technical leaders
  • Prepare and maintain architecture documentation, data flow diagrams, and technical standards
  • Stay current on data architecture, analytics, and cloud platform best practices
What It Takes
  • Bachelor's degree in computer science, Software Engineering, Mathematics, Data Engineering, or a related field
  • 10+ years' experience designing and supporting data architecture, data platforms, or analytics systems
  • 10+ years' experience with data tools (Snowflake, Air byte, DBT, Domo, Looker) to maintain and enhance enterprise data solutions
  • Strong understanding of data architecture concepts, including data modeling, data warehousing, and analytical systems
  • Experience designing data products, curated datasets, and analytics ready data structures
  • Familiarity with data warehouse and modern analytics architecture
  • Understanding of, and experience using, version control systems
  • Ability to collaborate effectively across engineering, analytics, and business teams
  • Excellent work ethic, positive attitude, and strong sense of urgency
What Makes You Standout
  • Experience supporting or leading data platform or data warehouse migrations
  • Experience partnering with analytics and visualization teams
  • Exposure to data governance, data quality, or metadata management practices
What's In It For You?
  • We offer a competitive salary and annual bonus opportunity
  • In addition, we offer amazing benefits including but not limited to:
    • Health Insurance: Traditional OR High Deductible plan
    • Flexible Spending Accounts
    • Health Savings Account (including employer contributions)
    • Dental and Vision
    • Basic and Supplemental Life Insurance
    • Short-Term and Long-Term Disability
  • Paid caregiver leave
  • You will receive at least 3 weeks of PTO + Holiday Pay + Wellness Hours + Volunteer Hours
  • 401k with company match and immediate vest
  • Employee Stock Purchase Program at a 15% discounted rate
  • Matching grants through Protolabs foundation
  • And More!
$131,500 - $175,400 a year
Proto Labs maintains ITAR-compliant operations in all of our United States based facilities.  Due to ITAR regulations, this role is only open to U.S. Citizens, lawful permanent residents (green card holders) or foreign nationals granted refugee or asylee status.  Individuals with temporary visas (e.g. E, F-1, H-1, H-2, L, B, J, TN or OPT) are not eligible for hire in this role.
 
Proto Labs, Inc. is an Equal Opportunity Employer
 
Physical Demands:
While performing the essential duties of this job, the employee is regularly required to sit; use a computer keyboard, monitor and mouse, telephone and printer; reach with hands, and arms, talk, see and hear.  The employee is occasionally required to stand, walk, stoop or kneel and must occasionally lift and/or move up to 25 pounds.
Work Environment:
Indoors (A/C); nonsmoking; the majority of this job function is performed in an office setting requiring normal safety precautions. However, there may be job duties that require the employee to spend time in the manufacturing areas exposed to machinery and noise; eye protection occasionally required. Occasionally works in outside weather conditions. Occasionally works near moving mechanical parts and in high, precarious places and is occasionally exposed to wet and/or humid conditions, fumes or airborne particles, toxic or caustic chemicals, risk of electrical shock and vibration. The noise level in the work environment is usually quiet to moderate.
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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