远程工作雷达

兼职学生 - 数据分析师工程师 - 莫林, IL 或远程

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

开发工程限定地区(需当地身份)
公司John Deere
薪资$15 - $40
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

全球有超过70亿人口,到2050年,人口将增加20亿,许多人口将以史无前例的速度迁入城市中心。确保为快速发展的世界提供足够的粮食、纤维和基础设施是约翰迪尔的核心使命。这也是我们以前所未有的力度投资于人才和技术的原因!在这里,世界上最聪明的头脑正在解决世界上最严峻的挑战。如果你相信一个人可以改变世界,我们将立即为你提供工作机会。

约翰迪尔是平等机会雇主,包括残疾人和退伍军人。

主要工作地点:美国(US)- 伊利诺伊州 - 莫林
职能:数据与分析(CA)
职位:兼职学生 - 数据分析工程师 - 莫林,IL 或远程 - 124280
办公方式:远程岗位
备注:不提供搬迁补助。

兼职学生计划主要是为了补充公司的全职员工,适用于在学期间全年工作的学生。

你的职责

作为位于莫林或远程的公司企业售后数据与分析(EADA)组织中的兼职学生数据分析工程师,你将支持生成洞察并促进售后业务决策的分析数据产品。这个实践性学生职位将让你接触数据工程、分析和技术,同时与经验丰富的工程师、数据科学家和分析领导者一起解决有意义的业务问题。

• 协助构建、测试和改进数据管道、数据集和分析数据产品。
• 通过准备数据、整理代码、验证输出和记录结果来支持分析工作。
• 学习并应用与数据质量、可重复处理和文档相关的数据工程实践。
• 帮助排查数据问题并完成支持现有分析交付工作的定义任务。
• 参与团队仪式、代码审查、设计讨论和项目检查,以建立技术理解。

该职位不向持有移民签证的学生开放

你需要的技能

• 正在攻读数据科学、计算机科学、分析、工程、统计学、数学或相关专业的学士或硕士学位。

• 具备Python、PySpark或类似工具的基础经验。

• 对数据工程、分析、云平台、数据库概念以及数据工作感兴趣。

查看英文原文

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
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.
Originally posted on Himalayas

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