Data Engineer - Vehicle

Remote - United States

Applications have closed

Motive

Motive (ex KeepTruckin) is trusted by 120,000+ fleets for AI Dashcams, ELD Compliance, GPS Tracking, Fuel Cards, Fleet Management Software, and more.

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Who we are: 

Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. Motive combines IoT hardware with AI-powered applications to connect and automate physical operations. Motive is one of the fastest-growing software companies in the world, serving 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.

Motive is built on four foundational attributes; Own It, Less but Better, Build Trust, and Unlock Potential. This has taken our company to great heights, including being recognized by Fortune for Best Workplaces, Forbes Best Startup Employers, and Comparably for our Best Global Culture, Sales Team, Leadership Team, Career Growth, and CEO for Diversity. We’re proud to receive an employee net promoter score of 63 (according to Comparably) which places Motive in the top 5% of companies with 4,000 employees or more. 

Today, our team is made up of more than 4,000 employees, located across the world, providing support to a wide range of customers. While most of our employees are remote, many have the opportunity to work on-site at any of our 8 global office locations. Visit our careers website to learn more about opportunities at Motive. 

About the Role: 

As a Data Engineer - Vehicle, you will be involved and responsible for full ownership of Vehicle and Telematics-related data pipelines and metrics. You will have the opportunity to be the first Data Engineer hired on the Vehicle Team, which offers a unique opportunity to architect and build a scalable system tailored to Vehicle and Telematics use cases.

The Vehicle Team is responsible for advancing the interoperability of Motive’s devices with vehicles in the field. As a member of this team, you’ll help drive improvement of Motive’s current feature set and future features related to Vehicle and Telematics.

 

What You’ll Do: 

  • Lead and drive from requirements, scoping, design, development, and deployment of data pipelines and metrics for the Vehicle Team.

  • Architecting, developing, and scaling the data pipelines related to Vehicle and Telematics use cases.

  • Measuring, reporting, and continuously improving pipeline health, including execution times, cost of running data processing jobs in production, rate of experimentation, and reducing iteration time

  • Leading new design and data architecture for Vehicle and Telematics use cases.

 

What We’re Looking For: 

  • Experience in designing, implementing, and supporting highly scalable data systems and services in Python and SQL

  • Experience building & running large-scale data pipelines and using technologies like Airflow, Snowflake, Kubernetes, and/or AWS

  • Experience in data modeling and data architecture optimized for big data patterns

  • Excellent automation, debugging, and troubleshooting skills.

  • Good understanding of operations and building distributed systems at scale.

  • Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work.

  • Vehicle telematics experience is a plus

 

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Architecture AWS Big Data Data pipelines Distributed Systems Kubernetes Pipelines Privacy Python Snowflake SQL

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  7  2  0
Category: Engineering Jobs

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