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Dbt Data Engineer Jobs in Michigan (NOW HIRING)

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Google Cloud Platform Experience Required: * 3+ years of Alteryx experience * 2+ years of dbt Core ...

Whisker

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

What You'll Do : We are seeking a Senior Data Engineer / Data Engineer with strong hands-on ... DBT) * Collaborates with data scientists, analysts, and business stakeholders to understand data ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

What You'll Do : We are seeking a Senior Data Engineer / Data Engineer with strong hands-on ... DBT) * Collaborates with data scientists, analysts, and business stakeholders to understand data ...

Ford Motor Company

Full Stack Data Engineer

Dearborn, MI · On-site

$138K - $178K/yr

Full Stack Data Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this ... Leverage cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform, to build ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

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 ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

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 ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

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 ...

Premier Truck Rental

Senior Analytics Engineer

Detroit, MI

$103K - $142K/yr

Leveraging our modern data stack--including Fivetran, Snowflake, dbt, and Sigma --you will tackle ... Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ...

Converys

Data Architect

East Lansing, MI

$96K - $130K/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 ...

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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 Michigan? For Dbt Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Dbt Data Engineer jobs in Michigan look for? The top searched job categories for Dbt Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Dbt Data Engineer jobs? Cities in Michigan with the most Dbt Data Engineer job openings:
Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Senior Big Data Engineer

Pi Square Technologies LLC

Farmington Hills, MI • On-site

$54.75 - $72.50/hr

Full-time

Posted 5 days ago

Job description

Senior Big Data Engineer
Data Engineer
Owns the data pipelines that move data from operational source systems onto the data platform extraction, ingestion, transformation, orchestration, and the day-to-day operational health of those pipelines.
Also plays a role as a hands-on builder of Foundational Data Products (raw record-of-truth) and potentially Derivative Data Products (composed from upstream products).
Core skills
SQL & Python (table stakes); Scala/Java for high-throughput streaming
Pipeline build & operations: design, develop, deploy, monitor, and remediate batch and streaming pipelines that land source data on the platform; manage backfills, replays, late-arriving data, schema drift, and SLA breaches
Ingestion patterns: full-load, incremental, change-data-capture (Debezium, Fivetran, Qlik Replicate, GoldenGate), event-driven ingest, API and file-based
intake
Pipeline frameworks: dbt, Apache Spark, Apache Beam, Airflow, Dagster, Prefect
Streaming: Kafka, Kinesis, Flink, Spark Structured Streaming
Data product packaging: schema contracts (Avro/Protobuf/JSON Schema), versioning, SLAS/SLOs, data contracts, output-port design (SQL, file, API, event)
Storage formats: loeberg, Delta Lake, Hudi (open table formats are now the mesh default)
Quality & observability: Great Expectations, Soda, Monte Carlo, dbt tests, data lineage (OpenLineage)
CI/CD for data: GitOps pipelines, unit + integration tests, environment promotion
Al-adjacent vector store ingestion (pgvector, Pinecone), feature stores (Feast, Tecton), RAG-ready chunking and embedding pipelines
Mesh-specific: knowing when to build a derivative product vs. extending an existing one; consuming upstream products through governed input ports rather than reaching into source systems

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