1

Dbt Developer Jobs in Michigan (NOW HIRING)

Data Engineer III

Dearborn, MI · On-site

$110 - $140/hr

Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines. * Utilize GCP ... Develop comprehensive documentation for data engineering processes to support knowledge sharing ...

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 ...

Data Architect

East Lansing, MI · On-site

$105K - $143K/yr

Data Engineering & Pipeline Development * Build ELT/ETL pipelines using modern cloud-native tools ... Familiarity with tools such as dbt, Airflow, Azure Data Factory, or similar. * Knowledge of MDM ...

Cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools (Fivetran, Talend, dbt); * Big Data Tech: Hadoop, Spark, Kafka; * Programming/API: Python, Keras ...

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... dbt for transformation orchestration and modeling workflows * Experience with Fabric platform ...

Manager, Data Engineering

Detroit, MI · On-site

$160 - $190/hr

Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ... Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra About ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ... Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra About ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ... Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra About ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ... Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra About ...

Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub, automated testing, and ... Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra About ...

Automation Engineer

Grand Rapids, MI · On-site

$90 - $120/hr

Practical engineering skills. Comfortable in Python, JavaScript/TypeScript, or similar. Confident ... SQL and data work: dbt, warehouse modeling, BI tooling * Light infrastructure: Docker, CI/CD, cloud ...

Practical engineering skills. Comfortable in Python, JavaScript/TypeScript, or similar. Confident ... SQL and data work: dbt, warehouse modeling, BI tooling * Light infrastructure: Docker, CI/CD, cloud ...

Practical engineering skills. Comfortable in Python, JavaScript/TypeScript, or similar. Confident ... SQL and data work: dbt, warehouse modeling, BI tooling * Light infrastructure: Docker, CI/CD, cloud ...

Showing results 41-60

Dbt Developer information

See Michigan salary details

$14

$46

$71

How much do dbt developer jobs pay per hour?

As of Sep 4, 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 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 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 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 popular job titles related to Dbt Developer jobs in Michigan?

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

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

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

What cities in Michigan are hiring for Dbt Developer jobs?

Cities in Michigan with the most Dbt Developer job openings:

Infographic showing various Dbt Developer job openings in Michigan as of August 2026, with employment types broken down into 77% Full Time, 6% Part Time, 2% Temporary, 14% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $95,792 per year, or $46.1 per hour.

$110 - $140/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Location: Dearborn (MI) | Employment Type: Full Time - 40 hours per week | Job Level: T3 | Work Preference: Hybrid | Job Code: 244501

Job Description:Overview / Summary

We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications for collecting, storing, processing, and analyzing large volumes of data efficiently and accurately.

This role will focus on developing scalable data ingestion and curation pipelines, building and managing cloud-based data platforms, improving data quality and performance, and collaborating with technical and business stakeholders to support data engineering initiatives.

Key Responsibilities
  • Collaborate with business and technology stakeholders to understand current and future data requirements.
  • Design, build, and maintain reliable, efficient, and scalable data infrastructure for data collection, storage, transformation, and analysis.
  • Plan, design, build, and maintain scalable data solutions, including data pipelines, data models, and applications.
  • Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouses for structured and unstructured data.
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities, including scripting and task automation.
  • Develop and maintain scalable data ingestion and curation pipelines from diverse data sources.
  • Standardize and optimize data for analytical use while maintaining data quality.
  • Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines.
  • Utilize GCP services, including BigQuery, Dataflow, Pub/Sub, and Cloud Functions, to build and manage data platforms.
  • Implement and manage data governance policies, access controls, and security best practices.
  • Support efficient data workflow management and cloud infrastructure provisioning using Infrastructure as Code (IaC) best practices.
  • Monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
  • Identify opportunities to improve resource utilization and cost-effectiveness.
  • Collaborate with data architects, application architects, and cross-functional teams to define and promote best practices, design patterns, and frameworks for cloud data engineering.
  • Automate data platform processes to improve reliability, data quality, and operational efficiency.
  • Communicate complex technical decisions clearly to technical and non-technical stakeholders.
  • Stay current with industry trends and emerging technologies and identify opportunities to improve data platforms and capabilities.
  • Develop comprehensive documentation for data engineering processes to support knowledge sharing, collaboration, and long-term system maintainability.
Required Qualifications
  • 7+ years of experience in Data Engineering.
  • Experience with Google Cloud Platform (GCP).
  • Experience with GCP Cloud Run and BigQuery.
  • Experience with Kafka.
  • Experience with cloud architecture and cloud computing.
  • Experience with software development and application development.
  • Experience with SQL.
  • Experience with Big Data technologies.
  • Experience with Java.
  • Experience with Python.
  • Experience with application testing.
  • Experience with Agile software development.
  • Experience with APIs.
  • Experience related to Artificial Intelligence and Expert Systems.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

At HTC Global Services, our culture is an embodiment of who we are – a value-led organizationcommitted to success of our people and customers.

  • Hybrid and Workplace flexibility
  • Work-Life-Balance
  • Well-defined career development plan
  • Rewards & Recognition program
  • L&D focuses on upskilling
  • Hands-on experience on Emerging Technologies and Digital Transformation
  • Career Mobility programs
#J-18808-Ljbffr