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Principal Data Engineer Jobs in Minnesota (NOW HIRING)

Genesis10

Principal Data Engineer - Hybrid

Eagan, MN · On-site

$95.60 - $105.60/hr

As the Principal Data Engineer , you will serve as the most senior technical contributor on the Data Platform Engineering team. This role is responsible for providing technical leadership ...

Blattner Company

Principal Data Engineer (Hybrid)

Avon, MN · On-site

$133K - $194K/yr

The Principal Data Engineer will own the technical architecture of this platform, establish engineering standards, and serve as a hands-on mentor to the data development team. This role works closely ...

Blattner Company

Principal Data Engineer (Hybrid)

Avon, MN · Hybrid

$133K - $194K/yr

The Principal Data Engineer will own the technical architecture of this platform, establish engineering standards, and serve as a hands-on mentor to the data development team. This role works closely ...

Allianz

Data Engineer Principal_3003

Minneapolis, MN · On-site

We are looking for an experienced Principal Data Engineer to work hands-on on the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires strong ...

Protolabs

Principal Analytics Engineer

Maple Plain, MN · On-site

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 ...

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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 Sep 5, 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 Data Engineer - Hybrid

Genesis10

Eagan, MN • On-site

$95.60 - $105.60/hr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Genesis10 is currently seeking a Principal Data Engineer - Hybrid position with a Regional Health Insurance Provider located in Eagan, MN. This is a 6+ month contract-to-hire opportunity.
Compensation: $95.60 - $105.60 per hour, W2, based on qualifications
Position Overview:
As the Principal Data Engineer, you will serve as the most senior technical contributor on the Data Platform Engineering team. This role is responsible for providing technical leadership, influencing architecture and engineering standards, and designing scalable data solutions that support analytics, automation, and future AI initiatives. You will partner with architects and engineering teams to design modern cloud-based data platforms and solve complex technical challenges in a hands-on capacity.
Key Responsibilities:
  • Provide technical leadership and architectural guidance for enterprise data engineering initiatives
  • Establish engineering standards, design patterns, and best practices across the data engineering organization
  • Mentor and coach data engineers through technical guidance, design reviews, and code reviews
  • Design, develop, and implement scalable cloud-based data engineering solutions
  • Build and optimize data pipelines supporting ingestion, transformation, orchestration, and delivery
  • Partner with Product Owners and business stakeholders to translate business requirements into scalable technical solutions
  • Serve as the technical escalation point for complex production issues and data engineering challenges
  • Drive continuous improvement of engineering processes, tooling, and development standards

Primary Requirements:
  • 8+ years of professional data engineering experience designing and delivering enterprise-scale data solutions
  • Healthcare or health insurance industry experience
  • Expert-level Python and SQL with extensive experience building scalable ETL/ELT pipelines
  • Strong cloud data engineering experience using AWS or equivalent enterprise cloud platforms (Azure or Google Cloud Platform)
  • Experience processing large datasets using Spark, PySpark, Spark SQL, or similar distributed processing technologies
  • Proven ability to design end-to-end data engineering solutions including ingestion, transformation, orchestration, automation, and data quality
  • Strong understanding of cloud-native data architectures and modern data engineering best practices
  • Demonstrated experience influencing technical direction, architecture decisions, and engineering standards
  • Experience mentoring engineers and leading technical discussions across teams
  • Excellent communication skills with both technical and non-technical stakeholders
  • Ability to work independently while driving complex technical initiatives

Desired Skills:
  • Hands-on Databricks experience including notebooks, workflows, and cluster management
  • Experience with AWS services including S3, Lambda, Glue, Step Functions, SQS, IAM, and CloudWatch
  • Experience with AI-enabled data platforms, automation, or machine learning data pipelines
  • Infrastructure-as-Code experience using Terraform
  • CI/CD pipeline experience using GitLab or similar tools
  • Experience with streaming technologies such as Kafka, MSK, or Kinesis
  • FHIR or healthcare interoperability experience
  • AWS Solutions Architect or Data Engineer Certification

Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.
If you have the described qualifications and are interested in this exciting opportunity, please apply!
Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.
For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years
  • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states/municipalities)
  • Commuter Benefits (Dallas, NYC, SF, and Illinois)

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website.
Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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About Genesis10

Sourced by ZipRecruiter

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

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