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Senior Data Engineer Jobs in Minnesota (NOW HIRING)

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Senior 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 ...

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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 ...

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 ...

Senior Data Engineer

Minneapolis, MN

$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 ...

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 ...

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 ...

Senior Data Engineer

Eden Prairie, MN · On-site

$91K - $163K/yr

Growing together As a Senior Data Engineer, you will be responsible for developing complex data sources and pipelines within our data platform, including Snowflake, Azure, Airflow, and related ...

Sr. Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts ...

Senior Data Engineer

Saint Paul, MN · On-site

$139K - $230K/yr

As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that ...

New

Senior Data Engineer

Eden Prairie, MN · Hybrid

$108K - $146K/yr

As a Senior Data Engineer on the UHC Core Data KTLO team, you will join our dynamic technology organization in Eden Prairie, MN, dedicated to building and optimizing robust data pipelines and systems ...

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

As a Senior Data Engineer on the UHC Core Data KTLO team, you will join our dynamic technology organization in Eden Prairie, MN, dedicated to building and optimizing robust data pipelines and systems ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Data Science and Analytics Summary of Job: As a senior analytics engineer, you'll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing ...

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

The Data Engineer makes the data usable, trusted, secure, and repeatable. This person handles data discovery, access, pipelines, transformations, quality checks, retrieval layers, metadata, and data ...

Senior Data Engineer

Minnetonka, MN · On-site +1

$108K - $146K/yr

Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads * Build and optimize data processing ...

Senior Data Engineer

Eagan, MN · On-site

$108K - $146K/yr

... Data Engineer will own and evolve our critical HEDIS data pipeline. § HEDIS data is delivered to our analytics vendor and used to measure BCBS's performance across key dimensions of care. o This ...

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Showing results 1-20

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 8, 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 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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 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 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:
Infographic showing various Senior Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person 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 3 days ago

New


Job description

Senior 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, accountability, and continuous improvement.


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

The Senior 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'll Do as a Senior Data Engineer, Microsoft Fabric & Power BI:

Data Engineering & Pipeline Development

  • 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.
  • Monitor and troubleshoot data pipeline performance while proactively identifying opportunities for improvement.

Business Intelligence & Analytics

  • Design, develop, and maintain Power BI semantic models, dashboards, and enterprise reporting solutions.
  • Develop optimized DAX measures and data models that support self-service analytics across the organization.
  • Establish reporting standards, visualization best practices, and reusable reporting assets.
  • Partner with business stakeholders to understand reporting needs and translate business questions into actionable analytics.
  • Continuously improve reporting capabilities to support strategic and operational decision-making.

Microsoft Fabric Platform Development

  • Work closely with the Data Architect to expand and enhance the Microsoft Fabric ecosystem.
  • Develop and maintain Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Dataflows, and Pipelines.
  • Support enterprise data governance initiatives, including metadata management, security, lineage, and access controls.
  • Assist with implementation of Microsoft Purview and other governance tools as needed.
  • Ensure enterprise data solutions follow Microsoft Fabric best practices and architectural standards.

Cross-Functional Collaboration

  • Collaborate with IT, manufacturing, operations, engineering, and business teams to identify opportunities for leveraging enterprise data.
  • Participate in Agile/Scrum ceremonies including sprint planning, backlog refinement, daily stand-ups, and retrospectives.
  • Support data integration projects involving manufacturing systems, ERP platforms, and other enterprise applications.
  • Document technical solutions, data models, and pipeline architecture to support long-term maintainability.
  • Promote a culture of data quality, continuous improvement, and data-driven decision-making across the organization.


What We're Looking For in a Senior Data Engineer, Microsoft Fabric & Power BI:

Required

  • 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.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication skills with the ability to collaborate across technical and business teams.
  • Proficiency with Microsoft Office applications including Outlook, Word, Excel, Teams, and PowerPoint.

Preferred

  • Experience working within manufacturing, industrial automation, or process manufacturing environments.
  • Experience with Microsoft Purview or other enterprise data governance platforms.
  • Experience supporting ERP integrations and enterprise business applications.
  • Familiarity with cloud platforms including Microsoft Azure.
  • Experience implementing enterprise security, lineage, metadata, and access management strategies.
  • Knowledge of real-time or streaming data architectures.
  • Microsoft Fabric, Azure Data Engineering, or Power BI certifications.

Knowledge, Skills & Abilities

  • Strong understanding of modern cloud-based data engineering principles and enterprise analytics platforms.
  • Ability to design scalable, maintainable, and secure enterprise data solutions.
  • Excellent analytical thinking with strong attention to detail and data quality.
  • Strong understanding of data architecture, data governance, and business intelligence best practices.
  • Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.
  • Self-motivated with a continuous improvement mindset and passion for solving complex data challenges.
  • Strong organizational skills with the ability to manage multiple projects and priorities.
  • Ability to work independently while collaborating effectively across cross-functional teams.

Why Join IP Corporation?

  • Be part of a stable, privately held organization with more than 70 years of innovation and market leadership.
  • Help shape the future of enterprise analytics by building modern data solutions on Microsoft's newest cloud technologies.
  • Work alongside talented engineers, architects, and business leaders to transform manufacturing and operational data into meaningful business insights.
  • Competitive benefits including medical, dental, vision, generous PTO, and 401(k) with company match.
  • Opportunity to make a lasting impact within a collaborative, innovative, and values-driven organization.


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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