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Principal Data Engineer Jobs in Minnesota (NOW HIRING)

Protolabs

Principal Analytics Engineer

Maple Plain, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is responsible for building the trusted data foundations that power business decision ... Partner with the Principal Data Engineer and Data Architect to align data architecture, ingestion ...

Protolabs

Principal Analytics Engineer

Maple Plain, MN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role is responsible for building the trusted data foundations that power business decision ... Partner with the Principal Data Engineer and Data Architect to align data architecture, ingestion ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · On-site

$121K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Principal Data Analyst leads an Analytics Community of Practice, enabling and elevating ... Ten (10) or more years of data analytics experience within an EPC (Engineering, Procurement, and ...

Blattner Company

Principal Data Analyst (Hybrid)

Avon, MN · Hybrid

$121K - $176K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Principal Data Analyst leads an Analytics Community of Practice, enabling and elevating ... Ten (10) or more years of data analytics experience within an EPC (Engineering, Procurement, and ...

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Showing results 21-40

All JobsPrincipal Data Engineer JobsPrincipal Data Engineer Jobs in Minnesota

Principal Data Engineer information

See Minnesota salary details

$72.5K

$144.2K

$208.1K

How much do principal data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for principal data engineer in Minnesota is $144,189.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $169,400.00 per year, depending on experience, location, and employer.

What is a principal data engineer?

A Principal Data Engineer is a senior-level technical role responsible for designing, building, and maintaining large-scale data infrastructure. They lead data engineering teams, establish best practices, and ensure efficient data pipelines to support analytics and machine learning. This role involves working with cloud platforms, big data technologies, and distributed systems to optimize data processing. Principal Data Engineers collaborate with data scientists, analysts, and business stakeholders to drive data-driven decision-making. Their work is critical in enabling organizations to leverage data effectively for insights and innovation.

What are the typical daily responsibilities of a principal data engineer?

As a Principal Data Engineer, your day-to-day responsibilities generally include designing and optimizing large-scale data pipelines, developing architectural strategies, and overseeing the implementation of robust data solutions. You'll collaborate closely with data scientists, analysts, and software engineers to ensure the organization's data infrastructure is efficient, scalable, and secure. You may also mentor junior team members, review code, and set data engineering best practices. This role frequently requires balancing hands-on technical work with strategic planning and stakeholder communication to align data initiatives with business goals.

What are the key skills and qualifications needed to thrive as a principal data engineer?

To thrive as a Principal Data Engineer, you need a deep understanding of data architecture, data modeling, ETL development, and distributed computing, often supported by a degree in computer science or a related field. Proficiency with technologies such as Hadoop, Spark, Python, SQL, and cloud platforms (AWS, Azure, or Google Cloud), as well as certifications in relevant tools or data engineering, is highly valuable. Strong leadership, problem-solving skills, and effective cross-functional communication are essential soft skills for this role. These combined abilities enable Principal Data Engineers to design scalable data solutions, drive engineering best practices, and lead complex projects to successful completion.

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

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

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

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

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

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

Principal Data Engineer jobs near you
Infographic showing various Principal Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $144,189 per year, or $69.3 per hour.

Principal Analytics Engineer

Protolabs

Maple Plain, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Protolabs rating

9.1

Company rating: 9.1 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

2nd of 84 rated plastic manufacturers

Job description

Be yourself at Protolabs
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams.
Why Protolabs?
We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It's our people who fuel our creativity and make our culture feel like home.
Join our team as a Principal Analytics Engineer!
This is a fixed hybrid role on-site Tuesday, Wednesday, Thursday at HQ in Maple Plain, MN
We are looking for a Principal Analytics Engineer to join our team. This role is responsible for building the trusted data foundations that power business decision-making across the company. Working at the intersection of business, analytics, and technology, you will translate complex data and business processes into scalable, well-governed data products.
As a senior technical leader, you will partner closely with stakeholders across the business, Analytics, Data Engineering, Architecture, AI, and Software Engineering teams. A key focus will be leading the migration from legacy DOMO reporting to our modern Snowflake and dbt platform, ensuring business logic and reporting knowledge are transformed into sustainable, future-ready data models.The ideal candidate combines deep SQL and analytics engineering expertise with a strong understanding of business processes, metrics, and systems. You thrive in ambiguity, bridge the gap between technical and business teams, and help ensure data accurately reflects how the organisation operates.
What You'll Do
  • Lead the design, ownership, and continuous improvement of enterprise analytics data models across multiple business domains
  • Drive the migration of legacy DOMO transformation logic to our modern Snowflake and dbt data platform
  • Partner closely with business stakeholders to understand processes, metrics, operational workflows, controls, and decision-making needs
  • Work with the Analytics team to ensure business definitions, metrics, and data models remain trusted, consistent, and aligned across the organisation
  • Collaborate with software development teams and source system owners to understand how data is generated, structured, and maintained
  • Translate complex and often ambiguous business requirements into scalable, maintainable, and well-documented data products
  • Serve as a senior subject matter expert in analytics engineering, SQL, data modelling, metric definition, and business data interpretation
  • Establish and promote best practices for data modelling, documentation, testing, and analytics engineering across the data platform
  • Partner with the Principal Data Engineer and Data Architect to align data architecture, ingestion strategies, transformation frameworks, and consumption patterns
  • Collaborate with the Analytics Quality Engineer to continuously improve data quality, testing, governance, validation, and reliability standards
  • Work closely with AI teams to ensure analytical datasets and semantic models support AI, machine learning, and advanced analytics use cases
  • Serve as a cross-functional subject matter expert, quickly developing expertise across new business domains while helping preserve and scale organisational knowledge through data products and documentation
  • Mentor and support Analytics Engineers, fostering excellence in SQL, data modelling, stakeholder management, business analysis, and analytics engineering best practices
  • Lead complex investigations across business processes, source systems, data pipelines, metrics, and reporting to identify root causes and drive resolution
  • Champion trust in data by ensuring critical datasets and models are accurate, transparent, well-governed, and aligned with real-world business operation
  • Create and maintain clear, comprehensive documentation covering business processes, metric definitions, transformations, data lineage, assumptions, and operational logic

What It Takes
  • 10+ years of experience in Analytics Engineering, Business Intelligence, Data Modelling, Data Warehousing, or related disciplines
  • Significant experience partnering directly with business stakeholders to understand processes, metrics, operational workflows, and business challenges
  • Significant experience designing and maintaining analytical data models across multiple functional domains
  • Expert-level SQL skills with the ability to simplify, optimise, document, and explain complex business logic and transformations
  • Deep understanding of analytical data modelling and data product development
  • Strong business acumen and curiosity, with the ability to quickly understand new domains and connect business processes to data structures
  • Strong experience working in ambiguous environments and bringing structure to complex data landscapes
  • Exceptional stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences
  • Ability to work comfortably across multiple domains while maintaining an end-to-end understanding of how business processes connect across the organization
  • Strong understanding of data quality, validation, testing, reconciliation, and root-cause analysis practices
  • Experience establishing standards, best practices, and governance approaches across analytical environments
  • Strong documentation and knowledge sharing practices
  • Experience mentoring and influencing peers and teams without relying on direct authority
  • Experience with Git-based development workflows and CI/CD practices

What Sets You Apart
  • Experience with dbt or equivalent modern SQL-based transformation frameworks
  • Experience leading or contributing to migrations from legacy analytics environments into modern data platforms
  • Experience with DOMO, including understanding of legacy reporting, ETL, and business logic implementations
  • Experience working with Finance, Human Resources, or other highly governed and business-critical data domains
  • Experience supporting enterprise reporting, KPI governance, semantic modelling, or data governance initiative
  • Experience with BI platforms such as Power BI, Tableau, Looker, or similar technologies
  • Exposure to data cataloguing, metadata management, lineage, observability, or governance platforms

What's In It For You?
  • We offer a competitive salary and annual bonus opportunity
  • In addition, we offer amazing benefits including but not limited to:
    • Health Insurance: Traditional OR High Deductible plan
    • Flexible Spending Accounts
    • Health Savings Account (including employer contributions)
    • Dental and Vision
    • Basic and Supplemental Life Insurance
    • Short-Term and Long-Term Disability
  • Paid caregiver leave
  • You will receive PTO + Holiday Pay + Wellness Hours + Volunteer Hours
  • 401k with company match and immediate vest
  • Employee Stock Purchase Program at a 15% discounted rate
  • Matching grants through Protolabs foundation
  • And More!

$131,500 - $197,300 a year
Protolabs offers a competitive total rewards package, and compensation mix vary based on position, such as base wage, as well as other earnings including incentives and commissions. Actual pay offered will vary depending on multiple factors which may include, without limitation, job function, work experience, specialized skills, training, education, and certifications.
Proto Labs maintains ITAR-compliant operations in all of our United States based facilities. Due to ITAR regulations, this role is only open to U.S. Citizens, lawful permanent residents (green card holders) or foreign nationals granted refugee or asylee status. Individuals with temporary visas (e.g. E, F-1, H-1, H-2, L, B, J, TN or OPT) are not eligible for hire in this role.
Proto Labs, Inc. is an Equal Opportunity Employer
Physical Demands:
While performing the essential duties of this job, the employee is regularly required to sit; use a computer keyboard, monitor and mouse, telephone and printer; reach with hands, and arms, talk, see and hear. The employee is occasionally required to stand, walk, stoop or kneel and must occasionally lift and/or move up to 25 pounds.
Work Environment:
Indoors (A/C); nonsmoking; the majority of this job function is performed in an office setting requiring normal safety precautions. However, there may be job duties that require the employee to spend time in the manufacturing areas exposed to machinery and noise; eye protection occasionally required. Occasionally works in outside weather conditions. Occasionally works near moving mechanical parts and in high, precarious places and is occasionally exposed to wet and/or humid conditions, fumes or airborne particles, toxic or caustic chemicals, risk of electrical shock and vibration. The noise level in the work environment is usually quiet to moderate.

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