Part-Time Student - Analytics Data Engineer - Moline, IL or Remote

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.

John Deere is an equal opportunity employer, including disabled & veterans. 

Primary Location: United States (US) - Illinois  - Moline  
Function: Data and Analytics (CA)
Title: Part-Time Student - Analytics Data Engineer - Moline, IL or Remote - 124280 
Onsite/Remote:Remote Position

Note: Relocation assistance is not provided.

The Part-Time Student Program is primarily designed to augment the Company’s regular full-time staff and is for students who work in parallel to their school schedule YEAR-ROUND.

Your Responsibilities

As a Part-Time Student Analytics Data Engineer within the Enterprise Aftermarket Data & Analytics (EADA) organization located in Moline, IL or Remote, you will support analytics data products that generate insights and enable business decisions across the aftermarket. This hands-on student role offers exposure to data engineering, analytics, and technology while working with experienced engineers, data scientists, and analytics leaders on meaningful business problems.

• Assist with building, testing, and improving data pipelines, datasets, and analytics data products.
• Support analytics work by preparing data, organizing code, validating outputs, and documenting results.
• Learn and apply data engineering practices related to data quality, repeatable processing, and documentation.
• Help troubleshoot data questions and complete defined tasks that support active analytics delivery work.
• Participate in team ceremonies, code reviews, design discussions, and project check-ins to build technical understanding.

This position is not available to students on immigration visas

What Skills You Need

• Currently pursuing a bachelor’s or master’s degree in Data Science, Computer Science, Analytics, Engineering, Statistics, Mathematics, or a related discipline. 


• Foundational experience with Python, PySpark, or similar.


• Interest in data engineering, analytics, cloud platforms, database concepts, and working with large or complex datasets.


• Strong problem-solving skills, attention to detail, and willingness to learn new tools with coaching.


• Ability to communicate clearly, work collaboratively, and manage school and work priorities.

• Graduation date of Spring 2027 or later.

• Available to work during the academic year (16-20 hours weekly).

• Available to work during the summer semester (30-40 hours weekly).

• Must be registered as a full-time student at a U.S/local accredited university/college

• Cumulative GPA of 2.8 or above.

What Makes You Stand Out

• Coursework, project experience, or prior work experience using Python, SQL, Spark, Databricks, GitHub, or similar data and development tools.
• Experience with data analysis, machine learning, statistics, or data engineering through coursework, internships, research, or personal projects.
• Experience with Deere, agriculture, construction, manufacturing, dealer networks, equipment, aftermarket, or similar industries.
• Experience working on team projects where you collaborated, communicated progress, and delivered a defined outcome.
• A growth mindset and desire to build technical depth while learning how analytics products are developed, deployed, and supported in a business environment.

At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:

• Flexible work arrangements
• Highly competitive base pay
• Savings & Retirement benefits (401K and Defined Benefit Pension)
• Healthcare benefits with a generous company contribution in the Health Savings Account
• Adoption assistance
• Employee Assistance Programs
• Tuition assistance
• Fitness subsidies and on-site gyms at specific Deere locations
• Charitable contribution match
• Employee Purchase Plan & numerous discount programs for personal use
• Vacation and Holiday Pay

$15 - $40 hourly based on published rates for business function and education level.

Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL 

Must be 18 years of age or older to apply

The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.

The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.

ACA Section 1557 Nondiscrimination Notice

The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.