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Data Solutions Jobs in Minnesota (NOW HIRING)

Mortenson

Data Solutions Tech Lead

Minneapolis, MN

Position Summary The Data Solutions Tech Lead is a senior technical role responsible for defining, architecting, and delivering modern data platforms aligned with Mortenson's strategic data vision.

twoharbors

Data Engineer

Minneapolis, MN · On-site

$95K - $120K/yr

Develop and deliver data solutions that comply with development standards. * Maintaining a relational database schema. This includes defining tables, relationships and constraints to ensure data ...

twoharbors

Data Engineer

Minneapolis, MN

$95K - $120K/yr

Develop and deliver data solutions that comply with development standards. * Maintaining a relational database schema. This includes defining tables, relationships and constraints to ensure data ...

Precision Technologies Corp

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Design end-to-end data solutions, including data ingestion, storage, processing, and analysis pipelines, as well as machine learning model development, deployment, and monitoring pipelines. * Design ...

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

The ideal candidate will have hands-on experience delivering data solutions on AWS and can clearly articulate how they have leveraged various technologies to meet specific business requirements. A ...

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All JobsData Solutions JobsData Solutions Jobs in Minnesota

Data Solutions information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do data solutions jobs pay per year?

As of Jul 30, 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 job?

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 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 is a data solutions job description?

A data solutions job involves designing, developing, and implementing data management and analytics systems to help organizations make data-driven decisions. It typically requires skills in data modeling, database management, and familiarity with tools like SQL, Python, or data visualization software. The role may also involve collaborating with teams to optimize data workflows and ensure data quality.

What is the highest paying data job?

The highest paying data job is typically a Chief Data Officer or Data Executive, earning six-figure salaries or higher, especially in large organizations. Senior roles such as Data Architects or Data Science Directors also command high compensation, often supplemented by bonuses and stock options, depending on experience and industry.

What professions make 500,000 a year?

In the field of data solutions, senior roles such as Chief Data Officer, Data Science Director, or Data Engineering Manager can earn $500,000 or more annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data analysis, machine learning, and leadership, along with strong business acumen and often a master's or Ph.D. degree.

Is 40 too late for data science?

Data solutions roles in data science do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Age should not be a barrier if you build a strong portfolio and stay current with industry developments.

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 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:
Data Solutions jobs near you
Infographic showing various Data Solutions job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Data Solutions Tech Lead

M. A. Mortenson Company

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Mortenson rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description


Position Summary
The Data Solutions Tech Lead is a senior technical role responsible for defining, architecting, and delivering modern data platforms aligned with Mortenson's strategic data vision. This position combines technical guidance with direct solution development, requiring active participation in design, engineering, implementation, and optimization of enterprise data solutions. The individual serves as both a technical lead and a practitioner, driving delivery through personal contribution while establishing standards, patterns, and best practices across the data ecosystem.
The role is centered on deep expertise in Microsoft Fabric, with a strong emphasis on Medallion Architecture (Bronze, Silver, Gold) and Data Mesh principles to enable scalable, domain-oriented data products. The Tech Lead is expected to design, develop, and optimize pipelines, models, and data solutions while establishing technical direction and engineering standards across the platform.
Operating at a Lead level, this position provides technical direction while remaining closely engaged in execution. The Tech Lead partners with engineers across initiatives, contributes directly to solution development, resolves complex technical challenges, and ensures the successful delivery of scalable, secure, and high-quality data products.
This role is intended for a technical leader who derives value from building solutions, solving complex engineering challenges, and driving delivery through direct contribution. While the position provides technical leadership and mentorship, it does not serve as a traditional people-management role.
Key Responsibilities
  • Lead the engineering, development, and delivery of enterprise data solutions utilizing Microsoft Fabric.
  • Engineer scalable and reusable data pipelines, data products, semantic models, and platform capabilities that support business objectives.
  • Design and implement solutions aligned with Medallion Architecture and Data Mesh principles to ensure scalability, maintainability, and domain ownership.
  • Establish and promote engineering standards, development practices, and implementation patterns across the Data Solutions organization.
  • Serve as the lead technical advisor for capabilities, evaluating technologies and providing recommendations to the Data Solutions Manager regarding platform strategy and technical direction.
  • Engineer proof-of-concepts and prototype solutions to evaluate emerging technologies, capabilities, and business opportunities.
  • Partner with business and technology stakeholders to translate requirements into engineered solutions that deliver measurable business value.
  • Drive technical execution across initiatives by resolving complex engineering challenges and ensuring successful solution delivery.
  • Champion engineering excellence through automation, performance optimization, code quality, testing, and operational reliability.
  • Ensure solutions are secure, scalable, supportable, and aligned with enterprise standards and operational requirements.

Data Engineering & Integration
  • Engineer, develop, and optimize data ingestion, transformation, and orchestration pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Fivetran, APIs, and related technologies.
  • Build and maintain reusable ELT/ETL frameworks, engineering accelerators, and integration patterns.
  • Develop and optimize data solutions supporting enterprise reporting, analytics, AI, and operational workloads.
  • Engineer integrations across SQL Server, Oracle, SaaS applications, APIs, and other enterprise platforms.
  • Troubleshoot and resolve complex data, platform, performance, and integration issues.
  • Implement monitoring, observability, and data quality controls to ensure platform reliability and trustworthiness.
  • Continuously improve performance, scalability, maintainability, and cost efficiency of data solutions.

Platform Engineering & Delivery
  • Contribute directly to sprint commitments through engineering, development, testing, deployment, and support activities.
  • Lead technical implementation efforts for strategic Data Solutions initiatives.
  • Participate in backlog refinement, solution estimation, technical reviews, and release planning activities.
  • Review and contribute code to ensure adherence to engineering standards and best practices.
  • Support production environments through root cause analysis, incident resolution, and continuous improvement initiatives.
  • Drive automation and operational efficiency across development, deployment, monitoring, and support processes.

Mentorship & Governance:
  • Mentor engineers through technical coaching, code reviews, pair programming, and collaborative solution development.
  • Lead by example through direct engineering contribution and delivery ownership.
  • Promote engineering best practices, reusable patterns, and modern development methodologies.
  • Assist in onboarding and developing engineers through knowledge sharing and technical guidance.
  • Foster a culture of accountability, continuous learning, innovation, and engineering excellence.

Required Qualifications
  • Bachelor's degree or equivalent experience.
  • 8+ years in data engineering or architecture.
  • 3+ years in a technical leadership role with proven hands-on delivery experience.
  • Technical Expertise:
  • Microsoft Fabric (Medallion Architecture, Data Mesh)
  • Fabric Data Factory & Azure Data Factory
  • Fivetran
  • Azure Data Services
  • MSSQL, Oracle & Oracle SQL Developer

Preferred Qualifications
  • Experience with enterprise-scale Fabric implementations.
  • Knowledge of data governance and lifecycle management.
  • Experience in construction or project-based industries.

A few benefits offered include:
(for Non-Craft & Non-Union Craft working 25+ hours / week)
  • Medical and prescription drug plans that includes no additional cost vision coverage
  • Dental plan
  • 401k retirement plan with a generous Mortenson match
  • Paid time off, holidays, and other paid leaves
  • Employer paid Life, AD&D, and disability insurance
  • No-Cost mental health tool and concierge with extensive work-life resources
  • Tuition reimbursement
  • Adoption Assistance
  • Gym Membership Discount Program

The base pay range for this role is $114,500 - $171,800. (Actual range is higher for the following office locations: Denver, CO and Chicago, IL - 5%, Seattle, WA, and Portland, OR - 10%, Washington, D.C. - 12.5%).
Base pay is positioned within the range based on several factors including an individual's knowledge, skills, and experience, with consideration given to internal equity. This position is eligible for Mortenson's incentive plan.
#LI-TH1 #LI-hybrid
Please make note:
  • Visa sponsorship is not offered for this position.
  • Our postings are typically open a minimum of 5 days and an average of 44 days.

ABOUT MORTENSON
As a top builder, developer, and EPC (Engineering, Procurement, and Construction), our expertise spans markets like sports, renewable energy, data centers, healthcare, and more. We are builders at heart, working to ensure the built environment has a lasting positive impact.
Let's Redefine Possible®
Equal Employment Opportunity
Your uniqueness brings new and creative perspectives to the team. Mortenson is committed to providing equal opportunities of employment (EOE) to all individuals, regardless of your race, religion, gender, national origin, age, veteran status, disability, marital status or any other legally protected category.
Other Items to Note
  • Mortenson reserves the right to hire any individual without legal or financial obligation on unwanted solicitations. No agency emails, calls, or solicitations are accepted without a valid agreement.
  • Must be currently legally authorized to work in the U.S. without sponsorship for employment visa status (e.g., H1B status, 0-1, TN, CPT, OPT, etc.). We are unable to sponsor or take over sponsorship of an employment Visa at this time.

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About M. A. Mortenson

Sourced by ZipRecruiter

M. A. Mortenson is a prominent name in the construction industry, based out of Minneapolis, MN, US. Established in 1954 by M.A. Mortenson Sr., the company has over six decades of experience offering construction services that have contributed to building lasting infrastructures across various sectors, including healthcare, energy, corporate, and sports. Mortenson has proven its exceptional expertise through a range of complex building and facility projects across the US fulfilling the customer's specifications and exceeding their expectations. Moreover, the company's core values are outlined as ‘Do the Right Thing’, ‘We Before I’, ‘Inspire What’s Possible’, and ‘In it for the long haul’.

Industry

Manufacturing and construction

Company size

1,001 - 5,000 Employees

Headquarters location

Minneapolis, MN, US

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