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Dbt Developer Jobs in Michigan (NOW HIRING)

Senior Data Engineer

Three Rivers, MI

$97K - $132K/yr

Own the full dbt lifecycle (sources staging intermediate marts) with model contracts, freshness ... AI in the Engineering Loop * Direct AI coding agents (Claude Code, Cursor, GitHub Copilot, dbt ...

Senior Data Engineer

Three Rivers, MI ยท On-site

$97K - $132K/yr

Own the full dbt lifecycle (sources staging intermediate marts) with model contracts, freshness ... AI in the Engineering Loop * Direct AI coding agents (Claude Code, Cursor, GitHub Copilot, dbt ...

We are seeking an Analytics Engineer (contract) to support development of scalable analytics pipelines and dashboards using Snowflake, dbt, SQL, and Tableau. The analyst will work across the full ...

New

The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices. Key ...

The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices. Key ...

The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices. Key ...

Lansing, Michigan Data Analyst Contract Analytics Engineer/Data Analyst (W-2 Contract / No Agencies ... Success in this position requires strong SQL skills, experience with dbt-based data modeling, and ...

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Dbt Developer information

See Michigan salary details

$14

$46

$71

How much do dbt developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for dbt developer in Michigan is $46.05, according to ZipRecruiter salary data. Most workers in this role earn between $35.19 and $56.35 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 Michigan? For Dbt Developer jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Dbt Developer jobs? Cities in Michigan with the most Dbt Developer job openings:
Senior Data Engineer (Snowflake + DBT)

Senior Data Engineer (Snowflake + DBT)

CMK Resources Inc

Troy, MI โ€ข On-site

$107K - $128K/yr

Other

Posted 5 days ago


Job description

CMK Resources is seeking a Senior Data Engineer (Snowflake + DBT required) for a client based in Michigan. This role supports analytics and data-platform initiatives that enable better health outcomes and efficient benefit management that our client seeks to improve for in-home healthcare providers and members.
Location: Detroit metro preferred (Troy, MI) - hybrid onsite Thursdays; remote possible if needed but candidate must meet most requirements
Eligibility: US Citizen or Green Card only
Key responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
  • Build and optimize data models in Snowflake to support BI, reporting, and analytics.
  • Implement ETL/ELT workflows with dbt to transform raw data into analytics-ready datasets.
  • Tune Snowflake queries, storage/compute usage, and dbt models for performance and cost efficiency.
  • Integrate Snowflake with diverse internal systems and third-party data sources.
  • Implement data quality checks, monitoring, and validation processes.
  • Collaborate with data analysts, data scientists, engineers, and business stakeholders to translate requirements into solutions.
  • Produce and maintain clear documentation for data models, transformations, and pipeline designs.
Required skills & qualifications
  • 5+ years hands-on data engineering experience.
  • Expert SQL skills - writing, optimizing, and debugging complex queries.
  • Proven hands-on Snowflake experience (data modeling, query tuning, architecture/integration).
  • In-depth dbt experience (models, macros, tests, CI/CD/workflow orchestration).
  • Solid understanding of cloud data warehousing concepts and best practices.
  • Experience with ETL/ELT patterns, data quality frameworks, and observability/monitoring.
  • Strong analytical, problem-solving, and communication skills; able to work cross-functionally.
Nice-to-haves
  • Experience with orchestration tools (Airflow, Prefect, Dagster).
  • Familiarity with BI tools (Looker, Tableau, Power BI) and analytics consumption patterns.
  • Python or another scripting language for data engineering tasks.
  • Prior experience in healthcare, claims, or DMEPOS/benefits environments.