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Dbt Data Engineer Jobs in Milwaukee, WI (NOW HIRING)

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

Troubleshoot data and pipeline issues across source systems, Fivetran, Astronomer,dbt, Snowflake ... Lead design and code reviews, share engineering best practices, and mentor junior data engineers.

Bakertilly

Data Solution Architect

Milwaukee, WI · On-site

$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 ...

Russell Investments

Data Platform Engineer II

Milwaukee, WI · On-site

$105K - $130K/yr

As a Data Platform Engineer,you will lead the design, development, and optimization of scalable ... Hands-on experience with Snowflake,dbt,FiveTran/CensusandotherETL tools * Expertisein SQL,Pythonor ...

Deloitte

Lead Forward Deployed Engineer - AWS

Milwaukee, WI

$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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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Milwaukee, WI

Dbt Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do dbt data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for dbt data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Milwaukee, WI?

For Dbt Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Dbt Data Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Dbt Data Engineer jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Dbt Data Engineer jobs?

Cities near Milwaukee, WI with the most Dbt Data Engineer job openings:

Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $127,802 per year, or $61.4 per hour.

Staff Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Re-posted 13 days ago

Job description

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact data solutions.Key ResponsibilitiesArchitect and own scalable, resilient data pipelines and platformsLead design decisions for data ingestion, transformation, and storageEstablish best practices for data modeling, testing, observability, and reliabilityDrive data quality, lineage, and governance frameworksServe as a technical mentor for junior and mid-level data engineersPartner with analytics, product, and business stakeholders to translate needs into data solutionsEvaluate and implement modern data tools and cloud technologiesLead incident response, root cause analysis, and long-term remediationContribute to roadmap planning and long-term data strategyQualificationsBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)7+ years of experience in data engineering or related rolesAdvanced SQL and strong proficiency in Python (or similar language)Deep experience with data warehousing and data modelingProven experience designing production-grade ETL/ELT pipelinesStrong understanding of distributed systems and data architecturePreferred ExperienceCloud data platforms (AWS, Azure, or GCP)Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)Data observability, monitoring, and reliability toolingExperience supporting analytics, BI, ML, or product data use casesPrior experience influencing technical strategy without direct authority