Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.

As a Data Engineer you will be part of the core data team building out world class data models and pipelines that will feed into our products.  You will be working on the intersection of all data streams in the company from our IOT data consuming 100s of thousands of data points per minute to our user data.  You will partner closely with both the Product, Engineering, as well as the Strategic Analytics teams. We are seeking strong team players who thrive on innovation and continuous improvement. We pride ourselves on our culture, and ability to work effectively across a highly diversified team. 

You will be joining a new team driving the creation of our new data infrastructure to support our Enterprise client needs.  We are building a new platform out with a compelling scope in integrating the latest technology as we build the product.  Your contributions will directly feed products that will be used by 100s of thousands of users using our product.

 

What You’ll Do: 

  • Build data pipelines based on product data which will go into our product for Enterprise customers
  • Architect and design data models in collaboration with data and product teams
  • Communicate effectively across multiple teams and projects.
  • Actively work on deploying Data Ops into Motive, driving the most robust data models using the latest tools in the market
  • You will be working with airflow, aws, data observability tooling and table creation frameworks similar to dbt.

What We’re Looking For: 

  • Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
  • 6+ years experience in Data Engineering, including experience building modeled tables
  • Strong applied knowledge in SQL, Python and modern data engineering stack (dbt, airflow, AWS)
  • Willingness to learn new technologies
  • Solid communication, collaboration, and people skills

 

Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

Please review our Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. 

#LI-Remote

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)


Global Diversity Survey

We invite applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process.

How would you describe your gender identity? (mark all that apply) (Select one)



Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication and learning? (Select one)





Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.