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Marketing Data Engineer Jobs in Wisconsin (NOW HIRING)

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes ... sales, marketing, and executive leadership. * Empowering Self-Service: Make self-service an ...

WI · On-site

$140 - $210/hr

## Manager, Test Data Engineering TeamApplylocations: Work From Home - Georgia: Work From Home - Texas ... These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs ...

The Director, Data Engineering - Architect is responsible for defining and governing the enterprise ... Experience in media, marketing analytics, or high-volume consumer data environments is a plus.

Coordinate with sales, engineering, operations, and leadership to gather information, clarify ... data centers, industrial equipment, power infrastructure, and manufacturing. * Gather product ...

Senior Software Engineer - Data

Madison, WI

$123K - $162K/yr

MavenAI, delivers AI-powered marketing automation built by industry experts and integrated directly ... The Role We are looking for a Senior Software Engineer to drive the evolution of our shared data ...

Supports all WasteLAB NPD projects by acting as a liaison between technical groups (master data, engineering, codes & standards, and marketing). * Supports WasteLAB MFG process and NPD projects by ...

Supports all WasteLAB NPD projects by acting as a liaison between technical groups (master data, engineering, codes & standards, and marketing). * Supports WasteLAB MFG process and NPD projects by ...

Showing results 21-40

Marketing Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do marketing data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for marketing data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is the difference between Marketing Data Engineer vs Data Analyst?

AspectMarketing Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines for marketing dataAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams within marketing or analytics departmentsBusiness units, marketing teams, or analytics departments
Tools UsedApache Spark, Hadoop, cloud data servicesTableau, Power BI, Excel

The main difference is that Marketing Data Engineers focus on creating and managing the infrastructure for marketing data, while Data Analysts interpret that data to provide actionable insights. Both roles often collaborate but serve distinct functions within data-driven marketing strategies.

What is a marketing data engineer?

Marketing Data Engineers are professionals who design, build, and manage data systems that enable marketing teams to collect, process, and analyze large volumes of marketing data. They work at the intersection of data engineering and marketing analytics, ensuring that data pipelines are robust, scalable, and optimized for marketing use cases. Their work helps organizations make informed marketing decisions by providing reliable and accessible data from multiple sources, such as web analytics, CRM systems, and advertising platforms. Marketing Data Engineers often collaborate closely with data analysts, data scientists, and marketers to create solutions that drive business growth.

How do marketing data engineers typically collaborate with marketing teams to drive data-driven campaigns?

Marketing Data Engineers work closely with marketing teams by designing data pipelines that collect and process campaign performance data, ensuring marketers have timely and accurate insights. They often participate in cross-functional meetings to understand campaign goals and translate them into data requirements, dashboards, or reports. This collaboration enables marketers to make informed decisions, optimize strategies, and measure ROI effectively. Regular communication and a clear understanding of marketing objectives are key to ensuring the technical solutions provided align with business needs.

What are the key skills and qualifications needed to thrive as a marketing data engineer, and why are they important?

To thrive as a Marketing Data Engineer, you need strong skills in data modeling, SQL, and data pipeline development, often supported by a degree in computer science, engineering, or a related field. Experience with ETL tools, cloud data platforms (like AWS or GCP), and marketing analytics systems such as Google Analytics is typically required. Excellent problem-solving, communication, and collaboration skills help you translate business requirements into technical solutions and work effectively with marketing teams. These abilities ensure accurate, actionable insights that drive data-driven marketing strategies and business growth.
What are popular job titles related to Marketing Data Engineer jobs in Wisconsin? For Marketing Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Marketing Data Engineer jobs in Wisconsin look for? The top searched job categories for Marketing Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Marketing Data Engineer jobs? Cities in Wisconsin with the most Marketing Data Engineer job openings:

Data Engineering Intern OR Student Co-Op

Marmon

Milwaukee, WI

$27/hr

Full-time

Re-posted 22 days ago


Marmon Holdings rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

DCI Marketing, Inc.

As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway-you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best.

DCI Marketing is reimagining how brands engage with retail customers. We design and deliver immersive environments that bring automotive and consumer brands to life, combining physical fixtures with digital experiences backed by data. Together, these elements transform retail spaces into powerful drivers of growth. Our people are problem-solvers who turn complex challenges into experiences that feel purposeful and built for growth. As part of Marmon Holdings, Inc., a Berkshire Hathaway company, we bring the resources and stability of a global organization to our craft-driven, agile team.
DCI Marketing develops retail merchandising solutions for global brands and retailers. Using consumer insights and a retail science-based methodology. The company specializes in retail environments, merchandising displays, digital merchandising, marketing programs, audit solutions, and facility image products. This position is in the DCI Marketing Data Team.
We're seeking a highly motivated student intern to work in an individual contributor (IC) role for the Data and Analytics team. This role is both hands-on and serves to meet timelines and quality requirements. The candidate will assist with building a functional Analytics Center of Excellence practice in both custom and purchased platform environments.

WHAT YOU'LL DO:

  • Translate functional and non-functional requirements into effective designs and development specifications
  • Responsible for helping transform Data into - > Information -> Knowledge - > Business Decisions
  • Responsible for streamlining dataflow pipelines across various programs and products
  • Responsible for identifying trends and patterns in data leading to increased effectiveness of digital programs
  • Responsible for Data related documentation and visual communications
  • Actively seeks to learn and takes guidance from other delivery and operations team members
  • Support Snowflake services and warehouse

WHAT YOU'LL BRING TO THE ROLE:

  • Currently pursuing an undergraduate degree in Computer/Software Engineering
  • 2+ years of experience in data-related technologies and architecture
  • Experience with Snowflake DB (programming knowledge using Snowflake, SnowSight and Snowpipes) is a plus
  • Experience in the use of machine learning methods - for example, linear regression, correlation, and statistical modeling
  • Experience in writing complex, highly optimized SQL queries
  • Experience in managing the Data pipelines
  • Google Analytics and Social Media Analytics experience is an advantage
  • Prescriptive/predictive analytics experience is an advantage

*** For a rising senior (graduating in 2027), the anticipated pay rate for this role is $27.00/hour. ***

Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.

We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.


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