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Data Modeling Jobs in Minnesota (NOW HIRING)

J5 Consulting

Data Scientist

Virginia, MN · On-site

$120 - $160/hr

Introduction We are seeking a skilled Data Scientist to support mission-critical intelligence initiatives by analyzing large-scale structured and unstructured data, developing data models, and ...

Mayo Clinic

Data Engineer

Rochester, MN · On-site

$102K - $143K/yr

Strong understanding of data modeling concepts Problem solver with the initiative to think critically to identify improvement opportunities (error detection, error correction, root cause analysis ...

RICEFW Technologies, Inc.

Data Architect

Saint Paul, MN · On-site

$64.50 - $83/hr

Develop data models. * Ensure data access patterns are optimized. * Maintain necessary documentation. * Coordinate with necessary teams to meet security standards. * Support design and development of ...

RICEFW Technologies Inc

Data Architect

Saint Paul, MN · On-site

$64.50 - $83/hr

Develop data models. * Ensure data access patterns are optimized. * Maintain necessary documentation. * Coordinate with necessary teams to meet security standards. * Support design and development of ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding Data Engineering & Architecture * Design, build, and maintain scalable data pipelines ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding Data Engineering & Architecture * Design, build, and maintain scalable data pipelines ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

Build composite models and leverage advanced features like aggregations, incremental refresh, and query folding Data Engineering & Architecture * Design, build, and maintain scalable data pipelines ...

Imedica

Sr. Data Engineer, EDM

Minnetonka, MN

$116K - $140K/yr

Develop and maintain reusable data models that support analytics, reporting, operational workflows, and downstream applications. * Profile data and identify quality problems, unexpected patterns ...

Medica

Sr. Data Engineer, EDM

Minnetonka, MN · On-site

$116K - $140K/yr

Develop and maintain reusable data models that support analytics, reporting, operational workflows, and downstream applications. * Profile data and identify quality problems, unexpected patterns ...

Medica

Sr. Data Engineer, EDM

Minnetonka, MN · On-site

$116K - $140K/yr

Develop and maintain reusable data models that support analytics, reporting, operational workflows, and downstream applications. * Profile data and identify quality problems, unexpected patterns ...

New

Mayo Clinic

Data Engineer

Rochester, MN · On-site

$111K - $134K/yr

Strong understanding of data modeling concepts Problem solver with the initiative to think critically to identify improvement opportunities (error detection, error correction, root cause analysis ...

Medica

Sr. Data Engineer, EDM

Minnetonka, MN · On-site

$116K - $140K/yr

Develop and maintain reusable data models that support analytics, reporting, operational workflows, and downstream applications. * Profile data and identify quality problems, unexpected patterns ...

New

Mayo Clinic

Data Engineer

Rochester, MN · On-site

$116K - $139K/yr

Strong understanding of data modeling concepts Problem solver with the initiative to think critically to identify improvement opportunities (error detection, error correction, root cause analysis ...

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All JobsData Modeling JobsData Modeling Jobs in Minnesota

Data Modeling information

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$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.

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

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

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 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.

Sr. Data Engineer- Animal Health Nutrition

Cargill

Wayzata, MN • On-site

$107K - $160K/yr

Full-time

Posted 18 days ago

Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 222 frontline employees who took The Breakroom Quiz

20th of 49 rated food wholesalers

Job description

Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with lifes essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thingtoday and for generations to come.

Job Purpose and Impact

The Senior Data Engineer job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities
  • DATA INFRASTRUCTURE: Prepares data infrastructure to support the efficient storage and retrieval of data.
  • DATA FORMATS: Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.
  • DATA & ANALYTICAL SOLUTIONS: Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
  • DATA PIPELINES: Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
  • DATA SYSTEMS: Reviews existing data systems and architectures to identify areas for improvement and optimization.
  • STAKEHOLDER MANAGEMENT: Collaborates with multi-functional data and advanced analytic teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
  • DATA FRAMEWORKS: Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.
  • AUTOMATED DEPLOYMENT PIPELINES: Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.
  • DATA MODELING: Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.
Qualifications

Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Preferred Qualifications:

  • CLOUD ENVIRONMENTS: Experience developing data systems on major cloud platforms (AWS, GCP, Azure).
  • DATA ARCHITECTURE: Hands-on experience building modern data architectures, including data lakes, datalakehouses, and data hubs, along with related capabilities such as ingestion, governance, modeling, and observability.
  • DATA INGESTION:Demonstratedproficiencyin data collection, ingestion tools (Kafka, AWS Glue), and storage formats (Iceberg, Parquet).
  • DATA STREAMING: Experience developing data pipelines with streaming architectures and tools (Kafka, Flink).
  • DATA MODELING:Expertisein data transformation and modeling using SQL-based frameworks and orchestration tools (dbt, AWS Glue, Airflow). Deep experience with modeling concepts like SCD and schema evolution.
  • DATA TRANSFORMATION: Strongbackground withusing Spark for data transformation, including streaming, performance tuning, and debugging with Spark UI.
  • PROGRAMMING: Advanced programming skills in Python, Java, Scala, or similar languages. Expert-levelproficiencyin SQL for data manipulation and optimization.
  • DEVOPS:Demonstratedexperience in DevOps practices, including code management, CI/CD, and deployment strategies.
  • DATA GOVERNANCE: Strong background in data governance principles, including data quality, privacy, and security considerations for data product development and consumption.
  • Previous Cargill experience, or experience with Animal Health Nutrition

The business will not sponsor work visas for applicants for this position.

Additional Applicant Information

The expected salary for this position is $107,000-160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

#LI-NS7

Equal Opportunity Employer, including Disability/Vet.


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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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