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Marketing Data Engineer Jobs in Minnesota (NOW HIRING)

... 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 ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

Senior Data Engineer

Minneapolis, MN · Remote

$110K - $150K/yr

By seamlessly merging data intelligence with marketing finesse, we create campaigns and tactics ... Engineering Standards: Champion engineering standards and help elevate the team's overall technical ...

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Showing results 1-20

Marketing Data Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do marketing data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for marketing data engineer in Minnesota is $127,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 per year, depending on experience, location, and employer.

What is a marketing data engineer?

Marketing Data Engineers are professionals who design, build, and manage data systems that enable marketing teams to collect, process, and analyze large volumes of marketing data. They work at the intersection of data engineering and marketing analytics, ensuring that data pipelines are robust, scalable, and optimized for marketing use cases. Their work helps organizations make informed marketing decisions by providing reliable and accessible data from multiple sources, such as web analytics, CRM systems, and advertising platforms. Marketing Data Engineers often collaborate closely with data analysts, data scientists, and marketers to create solutions that drive business growth.

How do marketing data engineers typically collaborate with marketing teams to drive data-driven campaigns?

Marketing Data Engineers work closely with marketing teams by designing data pipelines that collect and process campaign performance data, ensuring marketers have timely and accurate insights. They often participate in cross-functional meetings to understand campaign goals and translate them into data requirements, dashboards, or reports. This collaboration enables marketers to make informed decisions, optimize strategies, and measure ROI effectively. Regular communication and a clear understanding of marketing objectives are key to ensuring the technical solutions provided align with business needs.

What are the key skills and qualifications needed to thrive as a marketing data engineer, and why are they important?

To thrive as a Marketing Data Engineer, you need strong skills in data modeling, SQL, and data pipeline development, often supported by a degree in computer science, engineering, or a related field. Experience with ETL tools, cloud data platforms (like AWS or GCP), and marketing analytics systems such as Google Analytics is typically required. Excellent problem-solving, communication, and collaboration skills help you translate business requirements into technical solutions and work effectively with marketing teams. These abilities ensure accurate, actionable insights that drive data-driven marketing strategies and business growth.

What is the difference between Marketing Data Engineer vs Data Analyst?

AspectMarketing Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines for marketing dataAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams within marketing or analytics departmentsBusiness units, marketing teams, or analytics departments
Tools UsedApache Spark, Hadoop, cloud data servicesTableau, Power BI, Excel

The main difference is that Marketing Data Engineers focus on creating and managing the infrastructure for marketing data, while Data Analysts interpret that data to provide actionable insights. Both roles often collaborate but serve distinct functions within data-driven marketing strategies.

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

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

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

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

Infographic showing various Marketing Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 7% Internship, 77% Full Time, and 16% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.

Data Product Manager

Boston Scientific

Maple Grove, MN • On-site

Full-time

Posted 29 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 545 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

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About Boston Scientific

Sourced by ZipRecruiter

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most - united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen.

Industry

Medical equipment and supplies manufacturing, manufacturing and construction

Company size

10,000+ Employees

Headquarters location

Marlborough, MA, US

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