Share this Job

Sr Data Engineer

Date: Jun 22, 2022

Location: San Francisco, California, US, 90698

Company: John Deere

At John Deere, we run so life can leap forward. This powerful purpose is our promise to humankind that we will dream, design and deliver breakthrough products that sustain our world for generations to come. The world is counting on us to feed billions of people and build vital infrastructures in villages, towns, and megacities. We live up to the legacy our founder forged in a one-room blacksmith's shop nearly two centuries ago by creating a culture that brings out the best in all of us. A culture where great ideas thrive because every voice is heard.

 

John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard 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) - California  - San Francisco  
Function: Technology (CA)
Title: Sr Data Engineer - 83074 

Onsite/Remote: Partial Remote Position 

Your Responsibilities

  • Write clean, well-tested code to enable ingest, storage, retrieval, and transformation of large scale geospatial data for analysis, research, and model development.
  • Build and support production oriented high performance data pipelines that are efficient and reliable with robust monitoring.
  • Contribute to the development of next-generation data structures and APIs that enable secure, performant, cost effective access to data for research and model development.
  • Collaborate and communicate closely with data scientists and engineers to identify and build needed infrastructure, tools, and libraries to support machine learning algorithms.

What Skills You Need

  • 5 or more years of software engineering experience
  • 3 or more years of experience building and supporting mission critical, global, production-scale, cloud-based systems using Amazon Web Services (AWS)
  • Demonstrated ability to architect and build large scale processing pipelines
  • Experience implementing geospatial data structures, analysis systems, and visualizations
  • Strong coding skills in Python and additional experience with C++, Java, and/or Scala
  • Experience with infrastructure-as-code, automation, monitoring, and a DevOps mindset
  • A solid foundation in computer science, particularly with algorithm development
  • Strong analytic skills with high attention to detail and accuracy
  • An ability to inform and influence others through your strong communication skills

What Makes You Stand Out

  • Expertise with geospatial, IoT, or high frequency unstructured data sets
  • Sense of ownership, curiosity, and ability to function in a fast paced, collaborative team environment that is distributed across various time zones and locations
  • Experience with Spark, Databricks, or AWS Sagemaker
  • Experience working with GDAL or similar spatial libraries
  • Experience with machine learning techniques or tools
  • A strong track record of contributions to the open source community 
  • Advanced degree, engineering or computer science preferred

Education

  • Level of education and/or type of degree and/or years of related experience

Skills, Abilities, Knowledge

Ability to analyze, translate, and define business requirements into technical solutions.
Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation.
Ability to apply engineering principles and concepts for designs.
Ability to manage many competing priorities/requests in a fast-paced environment

 

 

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 and 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.


Job Segment: Computer Science, Engineer, GIS, Open Source, Cloud, Technology, Engineering