Build the data platform that powers smarter fleet safety and compliance decisions at scale. You’ll blend data engineering with DevOps-style automation to help teams ship reliable, high-quality data products in a modern Data Mesh environment.
About Fleetworthy
Fleetworthy is a fleet safety, compliance, and efficiency platform built to simplify how fleets manage safety, tolls, weigh station bypass, and more under one unified brand. Their connected suite delivers real time insights that help customers reduce risk, improve efficiency, and save money. Supporting millions of drivers and vehicles, Fleetworthy is leading a new era in road safety and fleet technology.
Schedule
Canada-based remote or hybrid.
Distributed team environment with a fast-paced, build-and-improve mindset.
Expectation: design pipelines, automate deployments, and support teams adopting Data Mesh best practices.
What You’ll Do
Build and maintain platform tools that automate deployment and operations for data products across a Data Mesh architecture
Design and optimize ingestion and transformation pipelines using SQL, Python, and PySpark, aligned with ETL best practices and Medallion Architecture
Improve infrastructure and delivery by contributing to CI/CD workflows and infrastructure-as-code provisioning (Terraform or similar), while strengthening reliability and performance at scale
What You Need
Strong working knowledge of SQL, Python, and PySpark in data-intensive environments, plus solid fundamentals in data modeling, warehousing, and ETL concepts
Comfort collaborating in a remote, distributed team with strong communication and a mindset of enabling other teams
Interest and aptitude for platform and infrastructure work, including automation, CI/CD, and reliability practices (Terraform, observability, and cloud platforms are a plus)
Benefits
Remote or hybrid flexibility within Canada
High-impact work building a modern data platform and Data Mesh foundation
Opportunity to grow deeper into DevOps, infrastructure, and scalable platform engineering
If you want to level up from data engineering into platform engineering while working on large, complex datasets, apply now while this role is open.
Help teams ship better data products, faster, with a platform that just works.
Happy Hunting,
~Two Chicks…