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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 ...

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our ... Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data ...

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our ... Demonstrate expert proficiency in DBT, SQL, Alteryx, Snowflake, Power BI, Tableau, Python (for data ...

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

Data Engineer

Minneapolis, MN · On-site +1

$75.75 - $83.33/hr

Senior experience with ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or ... Strong communication and collaboration skills with the ability to work closely with engineering ...

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 ...

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Dbt Data Engineer information

Is dbt in demand?

Yes, dbt Data Engineers are in demand as organizations increasingly adopt modern data transformation tools to improve data workflows. Skills in SQL, data modeling, and familiarity with cloud platforms enhance job prospects in this field.

What engineer makes $500,000 a year?

Highly experienced data engineers, including those working with advanced big data tools like Apache Spark and cloud platforms, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles at large tech companies. Achieving this level typically requires extensive expertise, certifications, and a strong track record in data architecture and engineering.

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large-scale data pipelines, cloud platforms, and data integration tools. Skills in SQL, Python, and cloud services like AWS or Azure enhance job prospects in this field.

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 Dbt Data Engineers?

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.

Do data engineers use dbt?

Data engineers often use dbt (data build tool) to transform and model data within data warehouses. It is a popular tool for managing data pipelines, enabling version control, testing, and documentation, which are key responsibilities of data engineers.

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 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

MS Fabric Data Engineer

Preferred Credit, Inc.

Saint Cloud, MN • On-site

$82K - $102K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.