Primary Location: United States (US) – Iowa – Ames
Function: Technology (CA)
Title: Part Time Student – Data Engineering – Ames, IA – 112923
Onsite/Remote:Onsite 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 Data Engineer for John Deere World Headquarters in Ames, IA, you will…
- Gain expertise in big data, cloud technologies, and front-end development, using these skills to build scalable Data & Analytics solutions. In addition, you will:
- Develop and enhance high-volume data processes and new functionality/code.
- Support and monitor daily ETL processes.
- Contribute to discussions on engineering direction, technical debt evaluation, and prioritization.
- Improve data quality in large-scale analytic environments.
- Resolve complex technical issues in Big Data and analytics technologies.
- Address defects and engineering challenges.
- Build strategic relationships with source data, Data & Analytics, and business analytics teams.
- Explore and develop AI solutions for our products.
- Embrace an API-first mindset.
This position is not available to students on immigration visas.
What Skills You Need
- Pursuing a degree in IT, Computer Science, Data Science, Computer Engineering, or a related STEM field.
- Must be a full-time student at a local accredited college/university.
- Expected graduation date of December 2026 or later.
- Minimum cumulative GPA of 2.8.
- Available to work 15-20 hours per week during the academic year and 35-40 hours per week in the summer.
- Must be able to commute to Ames, Iowa, as needed year-round (relocation assistance not provided).
- Familiarity with Data Engineering, ETL, Data Warehousing, or data movement applications.
- Experience in designing, developing, testing, and integrating complex software using React, Node, Python, or SQL.
- Exposure to an Agile/Scrum team environment.
What Makes You Stand Out
- Experience with Data Warehouse and Data Lake technologies, including Big Data tools like Databricks, Spark, Microfrontend, APIs, React, and AWS S3.
- Familiarity with cloud development on platforms such as AWS or Azure.
- Proven ability to quickly learn new technologies.
- Strong analytical, communication, presentation, and interpersonal skills.
- Understanding of User Experience principles.
- Proficiency in BI reporting tools like Tableau or Power BI.