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Dbt Data Engineer Jobs in Wisconsin (NOW HIRING)

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... dbt. * Strong experience designing and supporting Snowflake-based data warehouse solutions.

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... dbt. * Strong experience designing and supporting Snowflake-based data warehouse solutions.

1 point system

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Object storage-based data lakes * Parquet format ... Lakehouse concepts (Iceberg and/or Delta) Transformation & Modeling * dbt (dbt Core and/or dbt ...

Bakertilly

Data Solution Architect

Milwaukee, WI

$123K - $234K/yr

... engineering solutions using the Microsoft Analytics ecosystem. * Develop and maintain data ... Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration ...

Bakertilly

Data Solution Architect

Madison, WI

$123K - $234K/yr

... engineering solutions using the Microsoft Analytics ecosystem. * Develop and maintain data ... Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration ...

Serve Robotics

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes ... Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow ...

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI · On-site

$101K - $133K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

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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.

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Dbt Data Engineer jobs near you

Jr. Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Re-posted 28 days ago

Job description

OverviewThe Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that enable analytics, reporting, and data-driven decision-making across the organization.Key ResponsibilitiesAssist in building and maintaining data pipelines (ETL/ELT)Support data ingestion from internal and external sourcesHelp clean, transform, and validate data for analytics useMonitor data jobs and troubleshoot data pipeline issuesMaintain data models, schemas, and documentationPartner with data analysts and stakeholders to understand data needsSupport data quality, reliability, and governance initiativesFollow best practices for version control, testing, and deploymentQualificationsBachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)Experience with SQL and relational databasesFamiliarity with at least one programming language (Python preferred)Basic understanding of data warehousing conceptsExperience with Git or version control toolsStrong problem-solving and analytical skillsPreferredExposure to cloud platforms (AWS, Azure, or GCP)Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc.)Understanding of data lakes and modern data stack conceptsExperience working with large or complex datasets