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Dbt Data Engineer Jobs in Minnesota (NOW HIRING)

Team Velocity Marketing

Senior Data Engineer

Virginia, MN · On-site

$90 - $130/hr

Experience with dbt and modern analytics engineering workflows. * Experience with streaming technologies and event-driven architectures. * Experience supporting Business Intelligence, Data Science ...

New

Cargill

Sr. Data Engineer

Wayzata, MN · On-site

$116K - $139K/yr

Within Food Data Engineering Americas, this role builds and operates data products on Cargills ... Working knowledge of Snowflake, including warehouse/database/schema design and the dbt-Snowflake ...

Palomar

Sr. Data Engineer

Edina, MN · On-site

$125 - $165/hr

As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of ... Experience with orchestration tools (e.g., Airflow, dbt, Cloud Composer). * Strong problem-solving ...

New

Palomar Holdings, Inc.

Sr. Data Engineer

Edina, MN · On-site

$125 - $165/hr

As a Senior Data Engineer at Palomar, you will lead the design, development, and optimization of ... Experience with orchestration tools (e.g., Airflow, dbt, Cloud Composer). * Strong problem-solving ...

The Whiteside Agency

Senior Data Engineer

Saint Paul, MN

$139K - $230K/yr

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to ... Hands-on experience with dbt for modular, version-controlled data transformation and integration ...

Boston Scientific

Data Product Manager

Maple Grove, MN · Hybrid

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 ...

Boston Scientific

Data Product Manager

Maple Grove, MN · On-site

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 ...

Boston Scientific

Data Product Manager

Maple Grove, MN · Hybrid

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 ...

Cretex Medical

IT-Analytics Engineer

Brooklyn Park, MN · On-site

$90 - $140/hr

The position combines hands‑on data engineering with technical leadership, leveraging Snowflake, DBT, Matillion, and CI/CD best practices to develop scalable, high‑performing data pipelines and ...

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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Minnesota

Dbt Data Engineer information

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

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

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

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

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

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

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

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

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

What cities in Minnesota are hiring for Dbt Data Engineer jobs?

Cities in Minnesota with the most Dbt Data Engineer job openings:

Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Team Velocity Marketing

Virginia, MN • On-site

$90 - $130/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New

Key responsibilities

  • Design, build, and maintain scalable data pipelines and ELT/ETL workflows.

  • Develop and optimize data models and enterprise data structures to support reporting, analytics, machine learning, and operational applications.

  • Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets.

Job description

We are seeking a Senior Data Engineer to design, develop, and scale the data platform that powers analytics, business intelligence, machine learning, and customer-facing products across our organization. This role will focus on building reliable, high-performance data pipelines and modern data architectures that enable trusted, accessible, and actionable data.

The ideal candidate combines strong software engineering skills with deep expertise in cloud data platforms and distributed data processing. This individual will partner with Product, Engineering, Business Intelligence, Data Science, and business stakeholders to deliver scalable data solutions that support operational, analytical, and AI-driven initiatives.

Responsibilities
  • Design, build, and maintain scalable data pipelines and ELT/ETL workflows.
  • Develop and optimize data models and enterprise data structures that support reporting, analytics, machine learning, and operational applications.
  • Leverage Snowflake and modern cloud data platforms to ingest, transform, and optimize large datasets.
  • Partner with Business Intelligence and Data Science teams to deliver trusted, production-ready datasets.
  • Design and implement data quality, validation, and monitoring processes.
  • Support both batch and near real-time data integration requirements.
  • Develop APIs and data services that enable internal and customer-facing applications.
  • Optimize data pipeline performance, scalability, and cost efficiency.
  • Document data architectures, pipeline processes, and engineering standards.
  • Evaluate emerging technologies and recommend improvements to the organization's data platform.
  • Mentor team members and help establish engineering best practices.
Qualifications
  • 7+ years of experience in Data Engineering, Software Engineering, or a related field.
  • Strong SQL skills and extensive experience working with modern cloud data platforms, preferably Snowflake.
  • Strong proficiency with Python and data engineering development practices.
  • Experience designing and maintaining large-scale ELT/ETL pipelines.
  • Strong understanding of data modeling, data warehousing, and distributed data architectures.
  • Experience integrating structured and semi-structured data from multiple internal and external sources.
  • Familiarity with data orchestration and transformation frameworks.
  • Strong troubleshooting and performance optimization skills.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently while managing multiple initiatives.
Preferred Qualifications
  • Automotive industry data experience, including vehicle, dealership, CRM, inventory, consumer, telematics, finance, aftermarket, or mobility datasets.
  • Experience with dbt and modern analytics engineering workflows.
  • Experience with streaming technologies and event-driven architectures.
  • Experience supporting Business Intelligence, Data Science, and AI initiatives.
  • Familiarity with machine learning data pipelines and feature engineering concepts.
  • Experience working in a remote-first environment.
Location

Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No relocation assistance provided.

Compensation

Compensation commensurate on experience. Participation in company benefit offerings include medical, dental, vision, unlimited paid leave, 401(k) matching, wellness, and more.

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