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Data Modeler Jobs in Minnesota (NOW HIRING)

Healthcare Triangle Inc

Test Data Architect

Minneapolis, MN · 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 ...

OP Consulting Group LLC

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 ...

Precision Technologies Corp

GCP ML Architect - Data

Chaska, MN · 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 ...

Jobtailor

Data Solutions Architect

Virginia, MN · 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 ...

trane technologies

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Conduct data analysis to support business decisions and optimize NoSQL data models and query patterns. * Develop, implement, and optimize SQL queries and NoSQL data access patterns for various ...

Trane Technologies plc

Data Engineer

Saint Paul, MN

$115K - $139K/yr

Conduct data analysis to support business decisions and optimize NoSQL data models and query patterns. * Develop, implement, and optimize SQL queries and NoSQL data access patterns for various ...

Trane Technologies plc

Data Engineer

Saint Paul, MN · On-site

$115K - $139K/yr

Conduct data analysis to support business decisions and optimize NoSQL data models and query patterns. * Develop, implement, and optimize SQL queries and NoSQL data access patterns for various ...

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Land, transform, cleanse, and model enterprise data within OneLake, Lakehouse, and Warehouse environments. * Optimize data pipelines for reliability, scalability, performance, and cost efficiency.

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 ...

Halliburton

Senior Data Architect

Oslo, MN · On-site

$68.75 - $91.75/hr

You will own the data model, the ingestion and harmonization strategy across heterogeneous source systems, and the architectural roadmap for the AI-augmented data workflows that set the platform ...

Jobtailor

Data Architect

Virginia, MN · On-site

$140 - $210/hr

Define logical and physical data models, ingestion patterns, transformation layers, and consumption frameworks * Architect solutions for large‑scale structured and semi‑structured datasets ...

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 ...

Abbott

Data Analyst I

Little Canada, MN · 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 ...

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 ...

Peraton

Data Architect

Virginia, MN · On-site

$150 - $190/hr

Develop data models, diagrams, flow charts, and other system engineering-related documentation to problem-solve, identify improvements, create standards, and facilitate cross-organizational ...

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All JobsData Modeler JobsData Modeler Jobs in Minnesota

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.
More about Data Modeler jobs

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Data Modeler jobs near you
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.

Test Data Architect

Healthcare Triangle Inc

Minneapolis, MN • On-site

$66.50 - $85.50/hr

Other

Posted 4 days ago

Job description

Hi All.

We have a job opening for the position of Test Data Architect.

Please find the job description below and if you are interested, kindly share your updated resume with contact details...

Job Title: Test Data Architect.

Location : Minneapolis, MN

Duration : Long Term
Job Description :
Test Data Architect
Technical Depth: Interviews will be highly technical, focusing on enterprise data architecture, data modeling, integration patterns, high-quality application testing, modernization, mainframe data structures, files, batch jobs, APIS, and downstream data consumers, collaboration with engineering and business teams.
The Test Data Architect is responsible for defining, designing, and governing test data strategies that enable
high-quality application testing, modernization, and delivery across complex enterprise systems.
This role partners with business, product, architecture, development, testing, and operations teams to understand data requirements, analyze source systems, design data models and mappings, and ensure secure, reliable, and fit-for-purpose test data is available across environments.
This position requires strong data analysis, database design, test data management, and enterprise integration knowledge, with preferred experience in banking, payments, credit card, deposits, lending, customer, and account data domains.
Key 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.
target mappings, and data integration specifications. rules into logical and physical data models, 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. Required Qualifications
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
Data Structure, 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.
Preferred Skills & Technologies
Databases
DB2
Oracle
SQL Server
.
PostgreSQL
Data Analysis & Query Tools
SQL
Easytrieve
SPUFI
Basic understanding of COBOL, JCL, and VSAM datasets

Thanks & Regards,

Subash US Staffing

7901 Stoneridge Dr, Ste 220, Pleasanton, CA 94588

Ph: / Email:

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