Hiring.Camp

Data Engineering Intern OR Student Co-Op

Marmon is

·

Sep 18, 2025

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Salary
$27+
Location
USA_WI_Milwaukee_2727 W Good Hope Road, United States of America
Type
Internship
Department
Engineering
Seniority
Internship
Experience
2+ years
Education
Bachelor
Source
Workday

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 [email protected], and please be sure to include the title and the location of the position for which you are applying.

Skills

SQLMachine LearningSnowflakeGoogle AnalyticsMerchandising

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