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Dbt Data Engineer Jobs in Wisconsin (NOW HIRING)

DBT experience preferred * Analytics engineering or data engineering experience preferred * Familiarity with with ETL/ELT methodologies * Experience with cloud data warehouses (Snowflake, Redshift ...

DBT experience preferred * Analytics engineering or data engineering experience preferred * Familiarity with with ETL/ELT methodologies * Experience with cloud data warehouses (Snowflake, Redshift ...

Showing results 41-60

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 Wisconsin? For Dbt Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Dbt Data Engineer jobs? Cities in Wisconsin with the most Dbt Data Engineer job openings:

Analytics Engineer

Delta Defense

West Bend, WI • Hybrid

Full-time

Re-posted 25 days ago


Job description

Analytics Engineer - West Bend, Wisconsin

Build What Helps Us Work Smarter.

At Delta Defense, data powers a mission much larger than technology. At Delta Defense, data isn't just about reporting—it's about impact.

As an Analytics Engineer, you'll transform complex data into insights that help us connect millions of responsible Americans with the training, education, and resources they need to protect what matters most.

 We seek a highly driven Analytics Engineer who can turn raw, operational data into trusted business intelligence that drives smarter decisions across the company. In this role, you will partner with cross-functional teams to transform data from multiple sources into scalable reporting solutions that bring clarity to KPIs, metrics, and business performance. You will build the foundation that helps leaders see what is happening, understand why it matters, and act with confidence.

The right candidate is a disciplined problem-solver and truth-seeker. You move with urgency without sacrificing accuracy. You take ownership, ask strong questions, and bring order to complexity. You are comfortable working through ambiguity, improving systems, and holding your work to a high standard because the work matters.

This position is based at our corporate headquarters in West Bend, Wisconsin and allows for a hybrid work schedule with 3 days onsite and the option for 2 days remote.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Essential Duties and Responsibilities:

  • Build data pipelines that integrate complex and disparate data sources in order to create clean, tested, and reusable datasets ready for analysis. 
  • Ensure data quality by creating, maintaining, and enhancing data profiling methodologies. 
  • While performing data transformations, ensure adherence of the rules and requirements for the formats and attributes of data. 
  • Follow engineering best practices around CI/CD, unit testing, performance testing and optimization. 
  • Effectively collaborate with Data Architecture to ensure the quality and consistency of the data model. 
  • Create clear and effective documentation as needed. 
  • Understand and apply best practices related to PII, adherence to Risk policies and standards as set forth by the organization.

Skills/Abilities and Education Requirements:  

  • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
  • A high school diploma or equivalent is required. Bachelor’s degree in  Computer Science, Information Management, Data Science/Analytics, or equivalent relevant experience. 
  • 3+ years of SQL experience 
  • DBT experience preferred 
  • Analytics engineering or data engineering experience preferred
  • Familiarity with with ETL/ELT methodologies 
  • Experience with cloud data warehouses (Snowflake, Redshift, BigQuery)
  • Experience with with Python and shell scripting a plus
  • Experience with Agile development methods 
  • Understanding of Tableau 
  • Experience with Dimensional (star schemas) and Data Vault data models a plus. 
  • Ability to work independently and collaboratively in a fast-paced environment with shifting priorities.
  • Demonstrates the Core Values of Delta Defense, LLC.
Why Work at Delta Defense?

Because culture matters—and ours is legit.

  • Fast-paced, mission-driven, and genuinely fun
  • #25 on The Wall Street Journal’s 2025 Top 100 America’s Most Loved Workplaces
  • Newsweek Top 100 America’s Most Loved Workplaces (2023 & 2024)
  • Inc. 5000 “Fastest Growing Private Companies” – 14 years in a row

Most importantly, your work here actually matters.

You’ll help Americans protect themselves, their families, and their freedoms—every single day.

Learn more & apply here:  https://www.deltadefense.com/careers

Delta Defense, LLC is the private company that provides Marketing, Operations and Customer Service for the USCCA. The USCCA safeguards life, freedom, and finances for responsible American gun owners. Learn more about the USCCA at https://www.usconcealedcarry.com/

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