Data Platform – Data Engineer

Description Job Title About Canoo

Canoo’s mission is to bring EVs to Everyone and build a world-class team to deploy this sustainable mobility revolution. We have developed breakthrough electric vehicles that are reinventing the automotive landscape with pioneering technologies, award-winning designs, and a unique business model that spans all owners in the full lifecycle of the vehicle. Canoo is starting production and is distinguished by its pioneering and experienced team of technologists, engineers, and designers.

With offices around the country, the company is scaling quickly and seeking candidates who love to challenge themselves, are motivated by purpose, and possess a strong desire to get things done.

Canoo’s success is the direct result of our disciplined application of our core operating principles and drills, which are based on three main principles:
Think 80/20 (“Important versus less important”), Act 30/30 (“Reduce waste and increase output”), and Live 90/10 (“We have each other’s back”). We hire based on “MET” - Mindset, Equipment and willingness to Train - and seek individuals that take accountability and deliver results being Humble, Hungry to succeed, and Hunting for opportunities to win. We train our team to engage with each other by modulating between their intellect (iQ) and emotional intelligence (eQ) applying Facts, Finesse, and Force when they communicate.

The principles and drills of the CANOO Way have been fundamental to our success, our ability to grow, continuously improve, innovate and are at the core of our day‑to‑day operations.

As a Data Engineer, you will be responsible for developing and maintaining highly scalable data pipelines that enable data transformation and load between internal systems, IoT devices (electric vehicles), external backend systems, and frontend user interfaces. You will design and implement data streams ensuring data quality, data integrity, security, and high performance. Additionally, you will collaborate with cross‑functional teams to continually integrate all company systems.

• Work with stakeholders to gather data and reporting requirements, to build dashboards and data flows.
• Create infrastructure‑as‑code, deployment pipelines, developer tools, and other automations.
• Understand product requirements, engage with team members and customers to define solutions, and estimate the scope of work required.
• Deliver solutions that can keep up with a rapidly evolving product in a timely fashion.

• Experience with cloud services like GCP, AWS or Azure.
• Kafka
• Dashboarding and Reporting – Superset, Looker
• Git – Bit Bucket/Gitlab

• Python
• Python dependency management and custom packages
• Expertise with Google Cloud Platform (GCP)
• Data Warehousing – partitioning, segmentation
• Internet of Things (IoT) and MQTT
• Docker
• CI/CD tooling – Jenkins/git‑ci
• Understanding of automotive and embedded software systems

• Onsite presence in the office, this is not a remote or hybrid role.
• Travel may be required on an occasional basis for events such as team meetings or working with manufacturers or subject‑matter experts on particular tasks (