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Senior Data Engineer Jobs in Minnesota (NOW HIRING)

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP Corporation? IP Corporation is a privately held, family-owned chemical manufacturing organization with ...

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no C2C Job Summary We are looking for a Senior Data Engineer with strong hands-on experience building ...

Conch Technologies Inc

Sr. Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote? Hybrid in Minneapolis MN or Madison WI - must already be local and living within 50 miles 3-5 Must ...

Ryan Companies

Senior Data Engineer

Minneapolis, MN · Hybrid

$11K - $144K/yr

The Senior Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan ...

Palomar Holdings, Inc.

Sr. Data Engineer

Edina, MN · On-site

$125K - $165K/yr

As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of robust, scalable data solutions that power our business. You will mentor junior engineers, drive best ...

Xcel Energy

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Position Summary The Sr. Data Engineer is responsible for leading technical aspects of IT solution delivery, cloud-based data platform engineering and data product delivery, as well as strategic ...

QBP

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Quality Bicycle Products

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of ...

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

Boston Scientific's Active Implantable Systems (AIS) R&D organization is seeking a Senior Data Engineer to join our AI Transformation core team and design and build the data pipelines that power our ...

New

Cargill

Sr. Data Engineer

Wayzata, MN

$116K - $139K/yr

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of ...

Boston Scientific

Senior Data Engineer

Arden Hills, MN

$107K - $145K/yr

Boston Scientific's Active Implantable Systems (AIS) R&D organization is seeking a Senior Data Engineer to join our AI Transformation core team and design and build the data pipelines that power our ...

New

Boston Scientific

Senior Data Engineer

Arden Hills, MN · On-site

$111K - $151K/yr

Boston Scientific's Active Implantable Systems (AIS) R&D organization is seeking a Senior Data Engineer to join our AI Transformation core team and design and build the data pipelines that power our ...

New

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

As a Senior Software Engineer , you will drive the full data engineering lifecycle and design, build, and deploy enterprise-scale data and AI-powered solutions. In this role, you will lead data ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Minnesota

Senior Data Engineer information

See Minnesota salary details

$79.3K

$123.7K

$171.4K

How much do senior data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior data engineer in Minnesota is $123,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

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

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

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

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

What cities in Minnesota are hiring for Senior Data Engineer jobs?

Cities in Minnesota with the most Senior Data Engineer job openings:

What are popular job titles related to Senior Data Engineer jobs in MN?

For Senior Data Engineer jobs in MN, the most frequently searched job titles are:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer 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 $123,727 per year, or $59.5 per hour.

Sr. Data Engineer

IP Corporation

Saint Paul, MN • On-site

$115K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Sr. Data Engineer, Microsoft Fabric & Power BI

Location: Vadnais Heights, MN (Hybrid)

What is IP Corporation?

IP Corporation is a privately held, family-owned chemical manufacturing organization with more than 70 years of stability, innovation, and growth. Headquartered in Minnesota, IP Corporation supports a portfolio of operating companies that manufacture and distribute resins, gel coats, composite materials, and specialty polymer solutions used across a wide range of industrial applications.

Our operating companies, Interplastic Corporation, North American Composites, HK Research, and Molding Products, work together to deliver technical expertise, high-quality products, and long-term partnerships to customers around the world. We are known for our customer-first mindset, strong technical capabilities, and collaborative culture built on trust and continuous improvement.

What is a Sr. Data Engineer, Microsoft Fabric & Power BI?

The Sr. Data Engineer, Microsoft Fabric & Power BI is responsible for designing, building, and optimizing the enterprise data infrastructure that powers business intelligence across IP Corporation. This role combines data engineering, analytics, and business intelligence development to transform operational and manufacturing data into trusted, actionable insights.

Working closely with the Data Architect and business stakeholders, this individual will develop scalable data pipelines, manage Microsoft Fabric data environments, and create impactful Power BI dashboards that support informed decision-making across the organization. The ideal candidate is passionate about modern data platforms, industrial data integration, and building enterprise solutions that enable data-driven business outcomes.

What You Can Expect to Do as a Sr. Data Engineer, Microsoft Fabric & Power BI:

  • Design, develop, and maintain scalable data pipelines that extract data from operational technology (OT) systems, including historians, SCADA systems, PLCs, and OPC UA sources.
  • Build robust ingestion pipelines that support both batch and near real-time data processing into Microsoft Fabric.
  • Land, transform, cleanse, and model enterprise data within OneLake, Lakehouse, and Warehouse environments.
  • Optimize data pipelines for reliability, scalability, performance, and cost efficiency, monitoring and troubleshooting pipeline performance while proactively identifying opportunities for improvement.
  • Design, develop, and maintain Power BI semantic models, dashboards, and enterprise reporting solutions, including optimized DAX measures and data models that support self-service analytics.
  • Establish reporting standards, visualization best practices, and reusable reporting assets.
  • Partner with business stakeholders to understand reporting needs, translate business questions into actionable analytics, and continuously improve reporting capabilities that support strategic and operational decision-making.
  • Develop and maintain Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Dataflows, and Pipelines, working closely with the Data Architect to expand the ecosystem and ensure solutions follow Microsoft Fabric best practices and architectural standards.
  • Support enterprise data governance initiatives, including metadata management, security, lineage, and access controls, and assist with implementation of Microsoft Purview and other governance tools as needed.
  • Collaborate with IT, manufacturing, operations, engineering, and business teams, participate in Agile/Scrum ceremonies, support data integration projects across manufacturing and ERP platforms, and document technical solutions, data models, and pipeline architecture.

What We Are Looking For in a Sr. Data Engineer, Microsoft Fabric & Power BI:

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field (or equivalent experience).
  • Five (5) or more years of experience designing and supporting enterprise data solutions.
  • Expertise with Microsoft Fabric, including Data Factory, OneLake, Lakehouse, Warehouse, and related platform components.
  • Advanced experience developing Power BI semantic models, dashboards, reports, and DAX calculations.
  • Strong SQL skills and experience designing relational and dimensional data models.
  • Experience building ETL/ELT data pipelines using Microsoft Fabric Data Factory, Azure Data Factory, Synapse, or similar technologies.
  • Experience integrating data from operational technology (OT) systems including historians, SCADA systems, PLCs, OPC UA, or similar industrial data sources.
  • Strong understanding of Agile/Scrum software development methodologies.
  • Strong understanding of modern cloud-based data engineering principles, data architecture, data governance, and business intelligence best practices.
  • Ability to design scalable, maintainable, and secure enterprise data solutions.
  • Excellent analytical, troubleshooting, and problem-solving skills with strong attention to detail and data quality.
  • Strong communication skills with the ability to collaborate across technical and business teams and communicate technical concepts to non-technical stakeholders.
  • Strong organizational skills with the ability to manage multiple projects and priorities, working independently while collaborating across cross-functional teams.
  • Proficiency with Microsoft Office applications including Outlook, Word, Excel, Teams, and PowerPoint.
  • Experience working within manufacturing, industrial automation, or process manufacturing environments, including ERP integrations and enterprise business applications, preferred.
  • Experience with Microsoft Purview or other enterprise data governance platforms, Microsoft Azure, enterprise security, lineage, metadata and access management strategies, real-time or streaming data architectures, and Microsoft Fabric, Azure Data Engineering, or Power BI certifications preferred.

Why Join IP Corporation?

  • Be part of a stable, privately held organization with more than 70 years of success and industry leadership.
  • Competitive benefits including medical, dental, vision, generous PTO, and a 401(k) with company match.
  • Opportunity to make a meaningful impact in a collaborative, values-driven organization where your contributions matter.
  • Work alongside experienced professionals in an environment that encourages continuous learning, development, and career growth.
  • Join a culture built on teamwork, integrity, innovation, and long-term customer partnerships.
  • Contribute to products and solutions that support a wide range of industries across North America and beyond.
  • Enjoy the benefits of a company that combines the stability of an established organization with the agility and entrepreneurial spirit to drive innovation and continuous improvement.

IP Corporation is an Equal Opportunity Employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic in accordance with applicable laws.

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