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Data Modeling Jobs in Minnesota (NOW HIRING)

Data Architect

Minneapolis, MN ยท 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 ...

Data Solutions Architect

Virginia, MN ยท On-site

$120 - $150/hr

Influence data owners, modelers, engineers, and analysts to recommend relevant solutions. * Define integration data flows across organizational parts. * Design sophisticated data models ensuring data ...

GCP ML Architect - Data

Chaska, MN ยท On-site

$68.25 - $88/hr

Design and implement data models, ensuring data consistency, accuracy, and accessibility for various applications and users. * Establish MLOps practices, enabling the automation of machine learning ...

Data Architect

Saint Paul, MN ยท 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 ...

Data Analyst I

Little Canada, MN ยท On-site

$30 - $33/hr

Understanding of Data Models, Schemas, Hierarchies, and Relationships Key Technical Skills The following skills should be clearly demonstrated on the resume: * Data Modeling * Power BI * Advanced ...

Data Modeling Power BI Advanced Microsoft Excel Preferred Qualifications / Responsibilities Ability to take direction and execute assigned tasks. Ability to prioritize daily tasks while balancing ...

Data Engineer

Plymouth, MN ยท On-site

$119K - $143K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Saint Cloud, MN ยท On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Rochester, MN ยท On-site

$111K - $134K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Duluth, MN ยท On-site

$127K - $153K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Expert in Data modeling * Experience in AWS Glue and Apache Iceberg * Familiarity in business reporting (Power BI) * Strong communication and collaboration skills and ability to act as a lead and ...

Senior Data Engineer

Eden Prairie, MN ยท Remote

$108K - $146K/yr

Data Modeling & Database Architecture * Lead the design of conceptual, logical, and physical data models to support OLTP, OLAP, streaming, and AI workloads. Architect robust database schemas ...

Senior Data Engineer

Eden Prairie, MN ยท On-site

$108K - $146K/yr

Data Modeling & Database Architecture * Lead the design of conceptual, logical, and physical data models to support OLTP, OLAP, streaming, and AI workloads. Architect robust database schemas ...

Showing results 21-40

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.

Data Architect

Jobtailor

Minneapolis, MN โ€ข On-site

$90 - $130/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Responsibilities
  • Partner with business stakeholders, Product Owners, SMEs, analysts, and development teams to understand business processes, data requirements, source systems, data mappings, and data consumption needs.
  • 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 strategies that support functional, regression, integration, performance, automation, and modernization testing needs.
  • Design and govern reusable test data patterns, test data provisioning approaches, masking strategies, synthetic data solutions, and environment refresh processes.
  • Demonstrate strong understanding of data modeling principles, including entities, attributes, relationships, schemas, primary and foreign keys, indexes, constraints, and overall database design.
  • Read, interpret, and analyze Entity Relationship Diagrams, database schemas, data dictionaries, and end-to-end data flow diagrams to identify data dependencies and business impact.
  • Perform data discovery, analysis, and data mining across multiple databases, tables, files, and source systems using SQL, Easytrieve, and other data query and extraction tools.
  • Validate data quality, integrity, consistency, and accuracy by analyzing data relationships, transformation logic, reconciliation results, and business rules across systems.
  • Develop an understanding of data movement and integration patterns, including real-time and batch processing, event-driven architectures, APIs, messaging queues, data pipelines, and file-based interfaces.
  • Collaborate with architecture, development, testing, and operational teams to support data analysis, problem resolution, impact assessments, test automation enablement, and system modernization initiatives.
  • Ensure test data solutions comply with data privacy, data protection, retention, classification, and regulatory requirements for sensitive customer and financial data.
  • Document data models, test data design patterns, source-to-target mappings, provisioning processes, standards, and best practices for repeatable enterprise use.
Requirements
  • Bachelor's degree in Computer Science, Information Technology, Data Management, Engineering, or a related field, or equivalent practical experience.
  • Strong experience in data analysis, data architecture, database design, test data management, quality engineering, or software delivery.
  • Proficiency writing and optimizing SQL queries for data discovery, validation, reconciliation, and troubleshooting.
  • Experience analyzing relational databases, mainframe data structures, files, batch jobs, APIs, and downstream data consumers.
  • Ability to translate business rules and system behavior into clear data requirements, mappings, and test data needs.
  • Strong communication skills with the ability to explain complex data concepts to technical and non-technical stakeholders.
  • Experience working in Agile delivery environments and collaborating across product, engineering, quality, architecture, and operations teams.
Core Competencies

Demonstrates expertise in data analysis, data architecture, and database design, with a strong focus on test data management and quality engineering. Proficient in translating business requirements into data models and ensuring compliance with data privacy and regulatory standards.

Tools & Technologies
  • SQL
  • Easytrieve
  • APIs
  • Messaging Queues
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