1

Manager Data Engineering Jobs in Minnesota (NOW HIRING)

The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data ... Collaborate with data engineers, architects, and data scientists to design scalable conceptual ...

The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data ... Collaborate with data engineers, architects, and data scientists to design scalable conceptual ...

Partner with data engineering, reporting, and source-system teams to coordinate dependencies and ... Experience managing and prioritizing product backlogs in an Agile environment. * Strong ...

New

Data Platform Engineer

Minneapolis, MN · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Configure and implement data management and analytic platform changes * Document data pipeline ... Bachelor's in computer science, Engineering, or a related field * 3-5 years of experience in data ...

Data Platform Engineer

Minneapolis, MN · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Configure and implement data management and analytic platform changes * Document data pipeline ... Bachelor's in computer science, Engineering, or a related field * 3-5 years of experience in data ...

Data Engineer

Minnetonka, MN · On-site

$72K - $130K/yr

  • Retirement

Data Engineering & Pipeline Development * Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage large-scale data ingestion, transformation, and ...

Data Engineer

Minnetonka, MN · Remote

$72K - $130K/yr

  • Retirement

Data Engineering & Pipeline Development * Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow * Manage large-scale data ingestion, transformation, and ...

Data Engineer - Senior Manager

Minneapolis, MN · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LGN) is a leading provider of engineering, consulting, installation, and maintenance services for ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

... in data engineering with exceptional data visualization abilities. This hands-on role requires ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

Power BI Data Engineer

Minneapolis, MN · On-site

$105K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

LGN) is a leading provider of engineering, consulting, installation, and maintenance services for ... Implement and manage data warehouses and data lakes using Azure Synapse Analytics, SQL Server, or ...

Showing results 21-40

Manager Data Engineering information

See Minnesota salary details

$30.4K

$95.1K

$168.5K

How much do manager data engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager data engineering in Minnesota is $95,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $122,900.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

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

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

What are popular job titles related to Manager Data Engineering jobs in Minnesota?

For Manager Data Engineering jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Minnesota look for?

The top searched job categories for Manager Data Engineering jobs in Minnesota are:

What cities in Minnesota are hiring for Manager Data Engineering jobs?

Cities in Minnesota with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Minnesota as of July 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $95,145 per year, or $45.7 per hour.

Data Product Manager

Boston Scientific

Maple Grove, MN • Hybrid

Full-time

Posted 8 days ago


Boston Scientific rating

8.5

Company rating: 8.5 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

33rd of 540 rated manufacturers


Job description

Additional Location(s): US-MN-Maple Grove; 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 as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day.

We are seeking an experienced Data Product Manager to join our Cardiology Marketing & Digital Enablement (CMDE) team. The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data products, including the Marketing Data Platform (MDP), Customer 360, and Conversational Agentic AI capabilities. This role serves as the bridge between business stakeholders, analytics teams, data engineering, and technology partners to deliver scalable, high-impact data solutions that enable customer-centric engagement, advanced measurement, and AI-powered decision-making.

The successful candidate will drive product strategy from concept to adoption, establishing clear business value, prioritizing investments, and ensuring data products meet the evolving needs of marketing, sales, and commercial leadership. They will champion a product-centric mindset, translating business challenges into data-driven solutions that unlock actionable insights, improve customer experiences, and accelerate growth across the organization.

 

Work Mode:

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our Maple Grove or Arden Hills, Minnesota 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.

Your responsibilities will include:

  • Define and execute the product strategy and roadmap for Modern Data Platform (MDP), Customer 360, and Conversational Analytics solutions for specific franchises within our Cardiology business.
  • Oversee data engineer delivery capacity, sequencing, dependencies, and sprint priorities across the data product portfolio.
  • Collaborate with data engineers, architects, and data scientists to design scalable conceptual, logical, and physical data models that support dashboards, reporting, machine learning, and AI-enabled applications.
  • Ensure enterprise data assets are AI-ready by improving data quality, metadata, lineage, governance, master data management, and semantic consistency, including management of semantic models across Cardiology.
  • Guide the modernization of existing data assets into cloud-native architectures using modern data stack technologies, including Snowflake, dbt, Adobe Experience Platform, Salesforce Data Cloud, and related platforms.
  • Partner with business and technical stakeholders to identify opportunities, prioritize capabilities, and deliver measurable business outcomes.
  • Establish product governance, success metrics, and adoption strategies to maximize value realization.
  • Drive the development of customer intelligence capabilities that provide a unified view of customer interactions, preferences, and engagement.
  • Lead the evolution of AI and conversational analytics solutions that transform data into accessible, actionable insights for commercial teams.
  • Enable a unified customer view and scalable data foundation that supports measurement, personalization, AI, and advanced analytics.

Required qualifications:

  • Bachelor's degree in Data science, Statistics, Economics, Computer Science, Engineering, or a related field.
  • 7+ years' of experience in Data Product Management, Data Architecture, Data Engineering, Analytics Engineering, or related technical product leadership roles.
  • Demonstrated experience delivering enterprise data products on modern cloud-based data platforms.
  • Strong expertise designing enterprise data models, including dimensional modeling, semantic modeling, and scalable analytical data structures supporting both Business Intelligence and AI applications.
  • Experience with modern data stack technologies, including Snowflake, dbt, Apache Airflow, SQL, and cloud-based ETL/ELT frameworks.
  • Advanced SQL skills with experience optimizing large-scale analytical datasets.
  • Experience working with AWS cloud services and modern cloud data architectures.
  • Experience implementing enterprise Data Governance practices, including metadata management, data lineage, business glossaries, master data management, and data quality frameworks.
  • Strong understanding of enterprise Business Intelligence platforms such as Tableau, PowerBI, Adobe Customer Journey Analytics.
  • Fortune 500 working experience, especially regulated industries or with sensitive data (e.g., financial, healthcare)

Preferred qualifications:

  • Strong experience with Customer Data Platforms such as Adobe RT-CDP, AEP, Salesforce Data Cloud, Braze
  • Strong experience with personalization and journey orchestration capabilities such as Adobe Journey Optimizer, Pega Customer Decision Hub, Salesforce Journey Builder, Adobe Target, Salesforce Personalization.
  • Experience supporting machine learning workflows, including feature engineering, model lifecycle management, or MLOps practices.
  • Knowledge of modern AI data architectures, including vector databases, Retrieval Augmented Generation (RAG), embeddings, and semantic search.

Requisition ID: 632960

Minimum Salary: $102100 

Maximum Salary: $194000 

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.


What Boston Scientific employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom