Senior Data Engineer

Sorry, this job was removed at 07:31 p.m. (CST) on Friday, Jun 13, 2025
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Hiring Remotely in India
Remote
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Unlock the potential of the physical economy.
The Role

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 100,000 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 Senior 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. 

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, great expectations 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
  • Expertise with data engineering stack, dBt, Snowflake, airflow, data observability tools, AWS.
  • Expertise in SQL and Python
  • 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 .

UK 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

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The Company
HQ: San Francisco, CA
3,600 Employees
Year Founded: 2013

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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