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Dbt Data Engineer Jobs in Minnesota (NOW HIRING)

Sr. Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote ... dbt (dbt Core and/or dbt Cloud) Source Control, GitOps & CI/CD GitHub Pull request-based ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

They are seeking Data Engineers to manage, transfer, manipulate, or integrate data to ensure ... dbt, or other related ETL tooling • Strong knowledge and experience using SQL, DDL, Stored ...

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Experience with DBT is a bonus * Prior consulting or professional services experience is a bonus

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Experience with DBT is a bonus * Prior consulting or professional services experience is a bonus

Senior Data Engineer

Hopkins, MN · On-site

$107K - $146K/yr

You'll design and build the Snowflake architecture and dbt model infrastructure that underpins our ... data engineering, with a track record of building and maintaining production pipelines and dbt ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no ... Hands-on experience with dbt (Core or Cloud) * Experience using GitHub, pull requests, and CI/CD ...

Join our team as a Principal Analytics Engineer! This is a fixed hybrid role on-site Tuesday ... Drive the migration of legacy DOMO transformation logic to our modern Snowflake and dbt data ...

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 ...

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Dbt Data Engineer information

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.

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 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.

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:

Infographic showing various Dbt Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$82K - $102K/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

Data Engineer

Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office requirements. 

SCHEDULE: Full-Time, Monday-Friday, 8:00am-5:00pm

COMPENSATION: Starting Pay $82,000 – $102,500 per year. (The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.)

WHO WILL SHINE IN THIS ROLE

Are you looking for an opportunity to build modern data solutions, work with Microsoft Fabric, and make an impact with enterprise data? PCI is seeking an MS Fabric Data Engineer who is analytical, collaborative, and passionate about data engineering. You'll design and optimize data pipelines, build Medallion (Bronze/Silver/Gold) architecture, and support our migration from SQL Server to Microsoft Fabric.

This is an exciting opportunity to work with Microsoft Fabric, PySpark, dbt, and Power BI, solve complex data challenges, and grow your expertise in cloud data engineering and emerging technologies.

WHAT YOU’LL DO
  • Design and build ingestion pipelines from on-premises SQL Server and other source systems into Fabric using Mirroring, Copy Activity/Data Factory pipelines, and Fabric Notebooks.
  • Develop and maintain medallion architecture (Bronze, Silver, Gold) transformations using PySpark notebooks and dbt (Data Build Tool).
  • Implement schema evolution handling, watermark-based incremental loads, and data quality checks (row count drift, freshness, referential integrity) across pipeline layers.
  • Available for off-hours support as needed to address data pipeline failures or critical issues impacting production data systems.
  • Translate existing on-premises stored procedures and ETL logic into Fabric-native pipelines and dbt models as part of the SQL Server-to-Fabric migration.
  • Identify and remediate data pipeline failures, performance bottlenecks, and capacity constraints within Fabric capacity limits.
WHAT WE’RE LOOKING FOR

Must-Have Qualifications:

  • BS in Computer Science or equivalent program or equivalent experience
  • 3-4 years of overall data engineering experience, with 1-2 years (minimum) of hands-on experience in Microsoft Fabric
  • Proficiency in PySpark and/or Python for data transformation and pipeline development
  • Strong T-SQL skills and understanding of relational database and dimensional modeling concepts

Nice to have but not Required!

  • Experience with DBT (Data Build Tool)
  • Exposure to MS Azure resources (e.g.-Functions, Eventhub etc.)
  • Experience with Power BI including semantic layer models
  • Familiarity with Azure DevOps, Git-based version control, and CI/CD pipelines
LOCATION & WORK SETTING
  • Office Address: 628 Roosevelt Rd, St. Cloud, MN, 56301
  • Schedule: Full-Time, Monday–Friday 8:00am-5:00pm CST
  • Work Setting: Hybrid
 COMPETITIVE COMPENSATION & BENEFITS
  • Starting Pay: $82,000 – $102,500 per year.
  • The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.

PCI offers competitive and comprehensive benefits including medical, dental, vision, short-term disability, long-term disability, and voluntary benefits.

 Additional Perks that Go the Extra Mile:

  • Annual Discretionary Bonus
  • Earned Safe & Sick Time (ESST)
  • Paid Maternity & Paternity Leave
  • Paid Time Off (PTO) & 8 Paid Holidays
  • Donation Matching & Paid Volunteer Time
  • 401(k) Match – 100% of your deferrals up to 5%
  • Tuition Reimbursement & Student Loan Match Program
HOW TO APPLY

It only takes a couple minutes! Submit your resume on our website at preferredcredit.com/careers.

EQUAL EMPLOYMENT OPPORTUNITY

PCI is an equal employment opportunity employer committed to diversity, equity, & inclusion. We make hiring decisions based on qualifications, merit, and business needs. If you need assistance or an accommodation due to disability, please contact PCI HR at PeopleOps@preferredcredit.com.