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Principal Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

C2C About the Role Join a dynamic Rebate Data Warehouse team as a tech lead/principal data engineer. You'll drive strategic initiatives, lead engineering best practices, and mentor a collaborative ...

Principal Data Analyst

Bloomington, MN · On-site

$50.32 - $75.48/hr

Working in a collaborative Agile environment, this individual partners with developers, data ... the Principal Data Analyst helps ensure reporting solutions align with organizational goals and ...

Working in a collaborative Agile environment, this individual partners with developers, data ... the Principal Data Analyst helps ensure reporting solutions align with organizational goals and ...

Working in a collaborative Agile environment, this individual partners with developers, data ... the Principal Data Analyst helps ensure reporting solutions align with organizational goals and ...

Data Engineer Principal

Bloomington, MN · On-site

$115K - $138K/yr

HealthPartners is hiring a Data Engineer, Principal. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health ...

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Showing results 1-20

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 Jul 27, 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.

Can I make 200K as a Data Engineer?

Principal Data Engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries around or above $200,000 annually, especially in high-cost-of-living areas or senior roles. Compensation varies based on location, industry, company size, and individual qualifications, with some senior data engineers earning close to or exceeding this figure.

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 is a Principal Data Engineer job?

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 engineers make 300,000 a year?

Principal Data Engineers and senior engineering roles in fields like software, cloud, and machine learning often have salaries reaching or exceeding $300,000 annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation can include base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What does a principal Data Engineer do?

A principal Data Engineer designs, develops, and maintains large-scale data systems and pipelines to support data analysis and business decision-making. They often lead data architecture initiatives, ensure data quality and security, and collaborate with data scientists and engineers using tools like SQL, Spark, and cloud platforms. This role typically requires extensive experience in data engineering and strong problem-solving skills.

What engineer makes $500,000 a year?

Principal Data Engineers or senior engineering roles in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in data architecture, and leadership responsibilities. Compensation at this level often includes base salary, bonuses, and stock options, typically found in large tech companies or organizations with significant data infrastructure needs.

What are the key skills and qualifications needed to thrive in the Principal Data Engineer position, and why are they important?

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:
Infographic showing various Principal Data Engineer job openings in Minnesota as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $144,189 per year, or $69.3 per hour.
AWS Principal Data Engineer

AWS Principal Data Engineer

Boston Scientific

Arden Hills, MN • On-site

Full-time

Posted 19 days ago


Boston Scientific rating

8.5

Company rating: 8.5 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

35th of 535 rated manufacturers


Job description

Additional Location(s): US-CA-Valencia; US-CA-Santa Clara; US-MN-Arden Hills
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance
At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions.
About the role:
Boston Scientific was recognized by Forbes as one of the Best Workplaces for Engineers in 2026, reflecting a culture where engineers do meaningful work.
The AWS Principal Data Engineer is a senior, hands-on technical leader and principal individual contributor responsible for designing, building and evolving scalable, reusable AWS data platform solutions. In this role, you will transform governed data into trusted, production-ready data products that power clinical insights, commercial analytics and AI-driven innovation.
Operating at the intersection of architecture, engineering execution and governance automation, you will shape how data flows from source systems through ingestion, transformation, quality enforcement and semantic enrichment. You will partner closely with data engineering, platform engineering, security, site reliability engineering (SRE), DevOps and governance teams to deliver a modern data platform that operates as a product rather than a collection of siloed solutions.
As a principal-level individual contributor, you will establish technical direction, define reusable patterns and influence engineering standards across teams through expertise, architecture leadership and mentorship.
Work model, sponsorship, relocation:
At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.
This is a defined-term position with an anticipated duration of 24 months from the employee's start date. Based on business needs and individual performance, there may be an opportunity for this role to be considered for regular full-time employment in the future.
Your responsibilities will include:
  • Design reusable AWS data platform architectures and lead the implementation and migration of complex data pipelines supporting governed ingestion, batch, streaming, change data capture (CDC), event-driven processing and data product delivery, ensuring validated cutovers and stage-gated reconciliation.
  • Translate governance requirements into automated platform capabilities, including data contracts, schema validation, data quality controls, lineage capture, metadata management and access enforcement.
  • Build and maintain infrastructure-as-code modules, CI/CD templates and Terraform-based provisioning frameworks that enable scalable, secure and governed platform deployment.
  • Architect and implement platform capabilities for security, observability, resiliency and cost management, including encryption, identity and access management (IAM), telemetry, service-level objectives (SLOs) and cost attribution.
  • Design governed lakehouse and data product patterns using AWS-native services and open table formats, including Apache Iceberg, to support scalable analytics, AI workloads and enterprise data products.
  • Evaluate emerging technologies, document architectural decisions and establish engineering standards that advance platform maturity, scalability and operational excellence.
  • Provide technical leadership through architecture reviews, reference designs and mentoring, enabling engineering teams to adopt best practices and deliver predictable, high-quality solutions.

Required qualifications:
  • Bachelor's degree in computer science, data engineering, information systems or a related technical field.
  • Minimum of 13 years' experience in data engineering, including a minimum of 6 years' experience designing and delivering cloud-native data platforms in AWS.
  • Minimum of 4 years' experience building scalable data platform solutions, including infrastructure-as-code, CI/CD, data integration (batch, streaming and CDC) and governance automation such as data contracts, quality controls, lineage and access management.
  • Demonstrated expertise with AWS data services, including S3, Glue, Athena, Lambda, MSK, Kinesis, DynamoDB, RDS, Redshift, EMR, Step Functions, DMS, ECS, Lake Formation and DataZone.
  • Production-level experience with Snowflake.
  • Strong programming and platform engineering expertise using Python, Terraform, Bash and distributed data processing frameworks such as Spark and Flink.
  • Experience with advanced data architecture and modeling concepts, including knowledge graphs, ontologies, semantic layers and GenAI-enabled data solutions.
  • Demonstrated ability to serve as a principal-level technical leader by establishing standards, influencing architectural direction and driving adoption across multiple engineering teams.
  • Ability to travel up to 10%.

Preferred qualifications:
  • Master's degree in computer science, data engineering or a related technical field.
  • Knowledge of modern lakehouse and data governance technologies, including Alation, Atlan, DataHub, Informatica or Databricks.
  • Experience supporting AI/ML platforms, including governed analytical workspaces and model lifecycle management.
  • Familiarity with regulated industries such as medical devices, healthcare or life sciences.

Requisition ID: 630230
Minimum Salary: $ 106800
Maximum Salary: $ 202900
The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) - see www.bscbenefitsconnect.com-will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.
Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn.
Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company's policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.

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