John Deere

Data Engineer

Job description

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. All qualified applicants will receive consideration for employment without regards to, among other things, 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.

Primary Location: United States (US) - Iowa - Johnston

Function: Technology (CA)

Title: Data Engineer - 92091

Onsite/Remote:Partial Remote Position

This position may be located in Johnston, Iowa, Chicago Illinois, or Austin, Texas per the hiring manager's discretion. This may be dependent on the successful candidate's background, experience, and proficiency.

This position is eligible for a flexible work schedule arrangement at the present time. The arrangement may be delayed for training or other job acclimation purposes and remains subject to change.

VISA Sponsorship is NOT Available for this position

Your Responsibilities

As a Data Engineer for John Deere Financial, you will join a team to create a data platform for advanced analytics and model building in order to enable efficient fast decision-making. Our team partners with product managers and data practitioners to design, scale, and deliver full-stack data solutions. In this role you will:

  • Develop data model and data pipeline, build rest APIs to provide data to downstream systems
  • Perform debugging and fixing application issues, root cause analysis, and help in proactive/preventive maintenance
  • Follow test-driven development approach
  • Help in technical debt reduction and follow clean code principles
  • Follow Security by design principles to define a security framework around data pipelines and APIs
  • Work as an Agile team member and participate in backlog refinement, sprint planning, sprint review, spirit retrospective

What Skills You Need

  • 3 or more years of Data Engineering tools and technologies (Apache Spark, Databricks, Python, SQL DB, NoSQL DB, and Data Lake concepts)
  • 3 or more years of experience with ETL, Data Modeling, Data Warehousing, and working with large-scale datasets
  • 3 or more years of experience with Test-Driven Development
  • 3 or more years of experience with DevOps and Lean Development Principles (Continuous Integration, Continuous Delivery/Deployment with Git or Jenkins)
  • 1 or more years of experience with AWS Services (Lambda, RDS, ECS, API Gateway, and S3)

What Makes You Stand Out

  • Technical Certifications (AWS, Data Bricks or REST API Development)
  • Passionate, creative and desire to learn new complex technical areas
  • Accountable, curious, and collaborative with an intense focus on product quality
  • Skilled in interpersonal communications and ability to communicate complex topics to non-technical audiences
  • Experience working in an agile team environment
  • Demonstrated ability to function in a collaborative team environment that is distributed across time zones and locations


Ideally, you will have a degree

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

What You'll Get

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 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

Click Here to find out more about our Total Rewards Package.

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, color, national origin, age, disability, or sex.

Nearest Major Market: Des Moines

Job Segment: Data Warehouse, Computer Science, SQL, Engineer, Database, Technology, Engineering

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