Senior Data Engineer (Remote)

We are looking for a senior data engineer to join our data and analytics team to help us build the next generation of our data platform and product. Together with the rest of the team, you will be responsible for the design and implementation of our data platform while also building data products for marketplaces, integrations and analytics. Your work will encompass the full spectrum of data engineering while also crossing over into areas of software and analytical engineering.

You will report to Fleetio’s Director of Data and Analytics and partner closely with our product and engineering teams as well as other internal stakeholders. This is an exciting opportunity to join a growing data-first company and push the boundaries of the modern data stack and deliver data products to our customers in new and exciting ways.

What’s Fleetio?

Fleetio (pronounced "flee-tee-oh”) is a leading provider of fleet management SaaS that helps organizations of all sizes track, analyze, automate, and manage their vehicles and equipment. With a purpose-built, easy-to-use, and comprehensive suite of tools and features, Fleetio makes it easy for fleet managers to optimize their operations, reduce costs, and improve safety and compliance.

We’ve become a trusted partner for thousands of businesses across the globe, from small startups to large enterprises. With a focus on innovation, customer success, and sustainable growth, Fleetio is on a mission to transform fleet management.

What makes us special, you might ask? We’ve been remote-friendly since 2012 and have been recognized as Birmingham Alabama’s Best Places to Work five years in a row. We have over 200 employees all over the United States, Canada, and Mexico, and have over 5000 paying customers in 70+ countries. It’s an exciting time at Fleetio as we’re growing 50+% year on year and have just closed our Series C round led by our incredible investment partner, Elephant. We’re building the fleet management platform of the future – the single screen for fleet managers to drive their businesses forward.

More about our product and company:

• Fleetio product overview video: https://www.youtube.com/watch?v=IlvIbwZT3oU
• Our careers page: https://www.fleetio.com/careers
• Check us out on Glassdoor (i.e., people love working here): https://www.glassdoor.com/Reviews/Fleetio-Reviews-E1745407.htm

What you'll be doing

• Enable and scale self-serve analytics for all Fleetio team members. You'll architect clean data sets by modeling data and metrics via tools like dbt to empower employees to make data-driven decisions with accurate information.
• Develop data destinations, custom integrations and maintain open source packages that allow our customers to easily integrate Fleetio data with the modern data stack.
• Maintain and develop custom data pipelines from operational source systems to our data platform for both streaming and batch sources.
• Work on development of our internal data infrastructure stack. Improve the hygiene and integrity of our data platform and ancillary tools by maintaining and monitoring the ELT pipeline.
• Architect, design and implement core components of our data platform beyond the traditional warehouse to include data observability, experimentation, data science and other data products.
• Collaborate with other Fleetians around the company to understand data needs and ensure required data is collected, modeled, and available to team members.
• Document best practices and coach/advise other data analysts, product managers, engineers, etc. on data modeling, SQL query optimization & reusability, etc. Keep our data platform tidy by managing roles and permissions and deprecating old projects.

This is a position we consider essential to the company’s success. Be sure to mention coffee in your cover letter so we know you actually read this.

What's in it for you

• Be a part of an incredible team of “A” players who go above and beyond to make Fleetio a successful company. We’re a customer-centric team with a great product, excellent support, and countless happy customers.
• Work remotely (within the United States), or at our Birmingham, AL HQ. We strive to promote a strong remote working culture and have done so since the beginning.
• We place great emphasis on work/life balance. We have families and hobbies and know you do, too

Requirements

• 5+ years experience working in a data engineering or data-focused software engin