CNH Industrial

Data Engineer II - Python

Location CA-Remote Canada
ID
2024-25702
Category
Engineering
Position Type
Full-time

Overview

CNH Industrial is a world-class equipment and services company dedicated to advancing the noble work of agriculture and construction workers. Driven by our shared purpose of Breaking New Ground, we are passionate about bringing Innovation, Sustainability, and Productivity to all that we do. As a truly global company, CNH Industrial’s 37,000+ employees form part of a diverse and inclusive workplace, focused on empowering customers to grow, and build, a better world through our core brands: Case IH, STEYR, New Holland Agriculture, CASE, and New Holland Construction.

In Precision Technology, we make iron smarter. Our team members deliver innovative solutions helping our customers to be more productive, save time, lower costs, and to operate sustainably. From vehicle displays, application controls, steering solutions, digital services and telematics, to fully autonomous driverless technology, we develop solutions that solve challenges for customers around the world. 

Responsibilities

We are searching for Data Engineer with both Azure and python experience who learns quickly and thrives in a fast-paced, innovative environment. The role is to help empower a global technology focused Product Validation team to reliably collect data and deliver product performance insights in the customer use case through the creative use of data. You will be heavily involved in building a powerful data platform to provide real data driven value to the Precision Technology group.

  • Work with teams generating and consuming data to understand the purpose, application, valid states, and interoperability of data needs.
  • Identify needs and develop infrastructure to satisfy the data pipeline for consuming data that retains target uptime.
  • Develop data processors to validate data entering the pipeline before it’s consumed by end users.
  • May maintain and extend Data Governance and Data catalogs as appropriate.
  • Isolate unhealthy data to retain data catalog health.
  • Develop and extend tools to aid in the discovery and reporting of data for system and end user insight.
  • May generate transformed data exports to support other teams.
  • Aid in tracking data utilization to shape enhancements to the Data Catalog.
  • Keep abreast of new developments in the domains of cloud computing and data science.
  • Demonstrates support for company culture in their daily actions.
  • Maintain a clean and safe work area. Follow established safety and ergonomic standards.
  • May be called upon to perform comparable duties of a similar or related nature and/or assist in other areas as needed.
  • Learning, understanding, continuously improving, and promoting the quality management system in accordance with ISO standards.

This position pays: $94,000-$117,000 CAD plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.) 

 

#LI-Remote 

Qualifications

  • Engineer with 2+ years of career experience, with Bachelors' degree. 1+ years’ experience with Master's degree. Or equivalent combination of education and experience.
  • Experience with Cloud Computing (Amazon Web Services or Microsoft Azure).
  • Experience writing software to develop efficient pipeline processors using python.

Preferred Qualifications: 

  • Proficiency in Automation, Provisioning, and Orchestration tools (Gitlab Pipelines, Terraform, Ansible, etc.
  • Understanding of ETL pipelines, streaming services, and storage/access patterns
  • Understanding the development, persistence, and application of Machine Learning datasets is beneficial
  • Big Data specialty certifications are beneficial
  • Ability to apply design theory and methodology
  • Well-developed problem analysis and problem-solving techniques
  • Proficiency with a computer, including use of Microsoft Word and Excel
  • Team player who is self-motivated and has ability to work with minimal supervision
  • Ability to communicate effectively with employees and leadership staff across a wide variety of specialties. 

Company Benefits

CNH Industrial offers a wide variety of benefits that not only encourages wellness and preventive care, but we also provide the right tools and programs to help you achieve it.  Our benefits package includes medical, dental, vision, disability, and life insurance.  Our industry leading 401k will support you in meeting your retirement objectives.  Additional benefits include paid parental leave, flexible work policies, opportunities for self-development and paid leave for specific activities. Click here for more information!

EEO

US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "EEO is the Law" poster and its supplement here. CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here.

 

If you need reasonable accommodation with the application process, please contact us at narecruitingmailbox@cnhind.com.

 

Read about our company’s commitment to pay transparency by clicking this link: pay transparency notice.

 

Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, colour, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation.

Options

Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed

Need help finding the right job?

We can recommend jobs specifically for you! Click here to get started.