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.
About the Role:
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
- 8+ 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
- High standard of
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.
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What We Do
Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. Motive serves more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery. Visit gomotive.com to learn more.
Why Work With Us
We work hard, with humility and we see our efforts rewarded in tangible ways every day. At Motive, you’ll have the chance to make a difference for the drivers who keep our world moving. We trust each other to do great work because together we can achieve collective goals that reach beyond the physical economy.
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