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Dbt Developer Jobs in Minnesota (NOW HIRING)

Collaborate with data engineers, architects, and data scientists to design scalable conceptual ... Experience with modern data stack technologies, including Snowflake, dbt, Apache Airflow, SQL, and ...

Senior Data Scientist

Virginia, MN · On-site

$160 - $220/hr

The role partners with Product, Data Engineering, Software Engineering, Analytics, and business ... Snowflake, Matillion, dbt, Pandas, Spark, Airflow * Cloud: Google Cloud (preferred), AWS, or Azure

New

Sr. Data Engineer, EDM

Hopkins, MN · On-site

$116K - $140K/yr

Experience using dbt or comparable SQL-based transformation frameworks. * Knowledge of medallion ... Experience mentoring engineers or serving as a technical lead while remaining hands-on. What ...

Posted today

Data Engineer

East Bethel, MN · Remote

$41 - $78/hr

We are seeking a Data Engineer to support data validation, reconciliation, and reporting for a ... Strong background in ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or ...

Showing results 41-60

Dbt Developer information

See Minnesota salary details

$16

$51

$80

How much do dbt developer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for dbt developer in Minnesota is $51.75, according to ZipRecruiter salary data. Most workers in this role earn between $39.57 and $63.32 per hour, depending on experience, location, and employer.

What is the difference between Dbt Developer vs Data Engineer?

AspectDbt DeveloperData Engineer
Primary FocusBuilding and maintaining data transformation pipelines using dbtDesigning, developing, and managing data infrastructure and pipelines
Skills & CertificationsSQL, dbt, data modeling, analytics skillsSQL, Python, ETL tools, cloud platforms, data architecture
Work EnvironmentAnalytics teams, data warehouses, BI projectsData platforms, cloud environments, big data systems

While both roles involve working with data, a Dbt Developer specializes in transforming data using dbt within analytics and BI projects, whereas a Data Engineer focuses on building and maintaining the broader data infrastructure and pipelines across various systems.

What are the key skills and qualifications needed to thrive as a dbt developer, and why are they important?

To thrive as a DBT Developer, you need strong SQL expertise, data modeling skills, and experience with ETL processes, typically supported by a background in computer science or data engineering. Familiarity with DBT (Data Build Tool), version control systems like Git, and cloud data warehouses such as Snowflake or BigQuery is essential. Attention to detail, problem-solving abilities, and effective communication help you deliver scalable data solutions and collaborate with cross-functional teams. These skills are crucial for building reliable data pipelines, ensuring data quality, and enabling data-driven decision-making within organizations.

What is a dbt developer?

A Dbt Developer is a data professional who specializes in using dbt (data build tool) to transform raw data into clean, reliable datasets for analytics and business intelligence. They write modular SQL code to perform data transformations, manage data models, and ensure data quality within modern data warehouses. Dbt Developers collaborate closely with data engineers, analysts, and business users to create efficient, maintainable data workflows. Their work enables organizations to make informed decisions based on trustworthy and well-structured data.

How does a dbt developer typically collaborate with data engineers and analysts on a project?

DBT Developers frequently work alongside data engineers to ensure that data pipelines provide clean, reliable data to downstream users. They collaborate with analysts to understand data requirements, define business logic, and implement transformations that support analytics and reporting. Regular communication is essential for aligning on naming conventions, documenting models, and troubleshooting issues. This collaboration often takes place through code reviews, shared documentation, and agile ceremonies such as sprint planning or stand-ups.

What are popular job titles related to Dbt Developer jobs in Minnesota?

For Dbt Developer jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Dbt Developer jobs in Minnesota look for?

The top searched job categories for Dbt Developer jobs in Minnesota are:

Infographic showing various Dbt Developer job openings in Minnesota as of August 2026, with employment types broken down into 84% Full Time, 2% Part Time, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $107,642 per year, or $51.8 per hour.

Data Product Manager

Boston Scientific

Maple Grove, MN • On-site

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 539 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.

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