Data Engineer

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)- Iowa
- Waterloo

Function: Data and Analytics (CA)

Title: Data Engineer-118451

Onsite/Remote: Onsite Position

• Develop, deploy, maintain, and continuously improve analytics data products. These analytics data products deliver insights to end-users and/or production applications which help drive product support goals and an improved customer experience.
• Complete exploratory data analysis to evaluate the feasibility and value of data product proposals.
• Develop and deploy robust production data products, ensuring:
  • Processing efficiency at scale.
  • Clean, concise, organized, and comprehensible code.
  • Thorough validation and reliable output.
  • Clear and useful documentation of the product.
• Execute support, maintenance, and continuous improvement on existing projects.
• Define, develop and maintain data pipelines which ingest new data or transform data in novel ways to support analytical insights.
• Proactively identify innovative improvement ideas.
• VISA Sponsorship is NOT available for this position

Preference is for candidates working onsite, however current remote employees may be considered.

• Experience with Python and SQL programming languages.
• Skill in leveraging PySpark to efficiently handle and process large-scale datasets.
• Experience designing, planning, product ionizing, maintaining, and documenting reliable and scalable data infrastructure and data products in complex environments.
• Strong interpersonal communication skills and ability to communicate complex topics to non-technical audiences.
• Ability to work independently and as part of a team in a fast-paced environment.

• Ability to explore new frameworks, technologies, and tools, and strategizing their technical implementation.
• Understanding of machine learning, generative artificial intelligence, and other advanced analytical techniques.
• Demonstrated learning agility and strong desire to innovate.
• Experience using Git Hub and Databricks.
• P&PA or C&F product knowledge.

Ideally you will have a degree or equivalent related work experience in the following:

Bachelor's or advanced degree in Data Science, Computer Science, Engineering, IT or equivalent experience in a related career field.

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 and performance bonuses
• Savings & Retirement benefits (401K and Defined Contribution)
• 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

$86,892.00 -$ + Benefits

Follow this link to learn more about our Total Rewards Package (Use the "Apply for this Job" box below)./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…