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Data Solutions Jobs in Minnesota (NOW HIRING)

Data Engineer

Blaine, MN · On-site

$65K/yr

This role is ideal for someone passionate about building scalable data solutions and enabling advanced analytics across the organization. Key Responsibilities • Design, develop, and optimize data ...

Data Architect

Minneapolis, MN · On-site

$90 - $130/hr

Design and govern reusable test data patterns, test data provisioning approaches, masking strategies, synthetic data solutions, and environment refresh processes. * Demonstrate strong understanding ...

Lead architecture and solution design for the Azure Data Platform and Databricks ecosystem. * Implement data governance, security, data quality, integration, and performance standards in alignment ...

New

Lead architecture and solution design for the Azure Data Platform and Databricks ecosystem. * Implement data governance, security, data quality, integration, and performance standards in alignment ...

New

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Design data solutions that solve client business needs Partner with analytics and media teams to understand business objectives and translate them into scalable data solutions. Design data models ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Design data solutions that solve client business needs Partner with analytics and media teams to understand business objectives and translate them into scalable data solutions. Design data models ...

Senior Data Engineer

Saint Paul, MN · On-site

$139K - $230K/yr

Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies. * Perform analysis of complex sources to ...

Data Architect

Brooklyn Center, MN · On-site

$65.75 - $84.75/hr

Designs scalable data solutions with a clear understanding of how data flows across systems, processes, and business functions. * Analyzes complex technical and data challenges, identifies root ...

Showing results 21-40

Data Solutions information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do data solutions jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data solutions in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a data solutions?

A Data Solutions job involves designing, developing, and implementing data-driven solutions to help organizations manage, analyze, and utilize their data effectively. Professionals in this role work with data storage, processing, and analytics tools to improve business decision-making. They may collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, reliable, and secure. Responsibilities often include cloud data management, database optimization, and system integrations.

What are the main career growth opportunities for professionals in data solutions roles?

Careers in Data Solutions offer a wide range of advancement opportunities, as professionals can move into specialized positions such as data architect, data engineer, or solutions architect, or transition into leadership as project managers or heads of data strategy. With the rapid expansion of data-driven initiatives across industries, the demand for experienced professionals often leads to roles in consulting, team leadership, or enterprise-level data strategy. Continuous skill development in emerging technologies like cloud computing and machine learning can further accelerate career progression. Many organizations also offer formal training and mentorship to help Data Solutions professionals achieve their career goals.

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

To thrive in Data Solutions, you need strong analytical abilities, a solid grasp of data management, and experience with data integration, transformation, and visualization—often supported by a degree in computer science, data science, or a related field. Familiarity with tools such as SQL, ETL platforms, business intelligence tools (like Tableau or Power BI), and cloud databases is highly valuable, as are certifications in data analytics or cloud technologies. Excellent problem-solving skills, project management, and clear communication are key soft skills that help you interpret requirements and translate them into actionable solutions. These skills and qualities are vital for ensuring organizations can effectively leverage data to make informed decisions and maintain a competitive edge.

What are the most commonly searched types of Data Solutions jobs in Minnesota?

The most popular types of Data Solutions jobs in Minnesota are:

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

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

What job categories do people searching Data Solutions jobs in Minnesota look for?

The top searched job categories for Data Solutions jobs in Minnesota are:

Infographic showing various Data Solutions job openings in Minnesota as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, 6% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Assistant Director of Data and Artificial Intelligence

MSP Airport

Saint Paul, MN • On-site

$150 - $200/hr

Other

Posted 4 days ago


Job description

The IT Data Practice Leader is responsible for leading the maturation, support, and execution of MAC’s IT Data capabilities. This includes overseeing the identification, ingestion, cleaning, and maintenance of all enterprise data and Geographic Information System (GIS) data. As a component of MAC’s data capabilities, this position also leads the usage and advancement of data-associated Artificial Intelligence (AI) technologies, such as Large Language Models (LLMs), that leverage these enterprise data sets.

The IT Data Practice Leader will possess strong people leader skills, technology expertise, proven customer relationship building skills, and the ability to implement and support enterprise-grade data solutions for stakeholders that help MAC reach and maintain their strategic goals. The IT Data Practice Leader will drive innovation, identify, implement, and support prioritized enterprise data solutions, data-driven AI technologies, and best practices that enhance the organization's capabilities in alignment with MAC’s IT strategy.

For a complete job description and to apply. Please visit our website.

Position Description:

ACCOUNTABILITIES AND FUNCTIONS
  • Leads the IT Data team to work with business partners to develop and support strategically aligned solutions and capabilities to help meet MAC’s goals.
  • Drives the continued growth and maturation of MAC’s data practice including collaborating with MAC’s Data Governance team to help advance MAC’s analytics capabilities from descriptive reporting toward more predictive and prescriptive capabilities.
  • Builds and Maintains partnerships with the Business Stakeholders and PMO to prioritize, plan, scope, deliver, document, and support data-related projects.
  • Navigates and supports all MAC departments to identify synergies, dependencies, and sequencing of cross-department data maturation activities.
  • Establishes and matures a data stewardship model across the organization to ensure data is cataloged, accessible, accurate, and well-defined.
  • Leads the continued maturation and refinement of MAC’s data technical roadmap and ensures alignment with the overall IT and enterprise strategic plans.
  • Assists with strategy, delivery, and support of AI-driven solutions within the operational and/or GIS data environments.
  • Manages and prioritizes day-to-day activities for the IT Data Team and ensures data incidents and enhancement requests are addressed in a timely manner.
  • Partners with Cyber-security experts to ensure data solutions align with corporate security practices.
  • Maintains vendor relationships including budgeting for and managing the associated maintenance and licensing agreements.
  • Fosters high-performing teams, through a positive and inclusive work environment that promotes professional growth and encourages knowledge sharing.
  • Collaborates with other airport and aviation industry peers to share best practices.
Technical Responsibilities
  • Owns all enterprise data and GIS data including on-going support and maintenance of these authoritative data sets.
  • Ensures enterprise alignment for architectural direction for GIS and other data solutions
  • Leads artificial intelligence innovation pilots and production solutions and develops operational processes that leverage LLM’s and other AI-based data solutions.
  • Manages key vendors to understand and align with vendor product roadmaps and life-cycle initiatives
  • Evaluates industry trends related to data, GIS, analytics, and data-related AI solutions and recommends emerging data technologies for adoption.
People/Team Management
  • Manage a team of IT professionals (employees and contractors), including hiring, training, and performance management.
  • Further develop roles and responsibility matrixes so employees have work plans appropriate for their business function and that the plan is being followed.
  • Conduct regularly scheduled meetings with employees to communicate work plans, issues, and other appropriate information.
  • Exercise supervisory authority in accordance with MAC Human Resource Policy, MAC Administration Manual, and/or the appropriate collective bargaining agreement.
  • Recognize employee achievement.
  • Oversee the development and maintenance of resource utilization and forecasting models.
  • Participate in management meetings and contribute to an open dialogue; communicate information within the organization and provide feedback to the team.
Position Requirements
  • Bachelor’s degree in an IT related field and four years of experience supporting and managing data quality and data governance technical frameworks
  • In lieu of a degree, eight years of related IT experience supporting and managing data quality and data governance technical frameworks
  • Three years of leadership responsibilities and managing teams which include demonstrated experience hiring, disciplining, coaching, rewarding and terminating employees.
  • Experience building or maturing data capabilities (GIS and/or transactional/operational data)
  • Proven experience piloting and deploying technology solutions that leverage AI capabilities
  • Experience with dashboarding and visualization platforms
  • Proven ability to build and maintain stakeholder relationships at all levels of an organization
  • Demonstrated experience delivering data-related solutions via formal Project Delivery methodologies
  • Ability to understand and communicate technical information to end users in an easily understood manner
  • Experience selecting and managing third-party vendors
  • Willingness to provide 24/7/365 support for critical operational data systems
  • Valid driver’s license
  • Reliable vehicle to commute between job sites
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