Cloud Data Ingestion Engineer - Real-Time Pipelines

Woven by Toyota; Ann Arbor (MI); On-site; USD 110,000 - 160,000; Full time

Job summary

Woven by Toyota is building data infrastructure to enable autonomous driving and mobility platforms. The team focuses on ingesting, enriching, and monitoring fleet data, with pipelines deployed on AWS using Python, Golang, Java, and C++ to support real-time processing.

The Data Acquisition group seeks engineers who can design scalable data systems, collaborate across data infrastructure and vehicle software teams, and contribute to a resilient, data-driven future for mobility.

Qualifications

• Bachelor's degree in CS or related field, or equivalent experience.
• 3+ years with data structures/algorithms and professional software engineering in Python/Go/Java.
• C++ development in embedded environments for autonomous driving data collection.
• 2+ years designing and building data-intensive, scalable applications.
• Experience with cloud-based (AWS/GCP) microservice architectures and distributed systems.

Responsibilities

• Build, maintain, optimize and support large-scale, cloud-native data ingestion, storage, processing and serving systems.
• Develop and support large production real-time systems in Python and C++.
• Understand data requirements of modern AD/ADAS platforms and tailor data ecosystem accordingly.
• Collaborate with Data Infrastructure, Site Reliability and Vehicle software teams on high-impact projects.

Skills

Python

C++

Java

Go

AWS

Distributed systems

English

Education

Bachelor's degree in Computer Science

Tools

Terraform

Docker

Kubernetes

AWS

GCP

Job description

Woven by Toyota is building data infrastructure to enable autonomous driving and mobility platforms. The team focuses on ingesting, enriching, and monitoring fleet data, with pipelines deployed on AWS using Python, Golang, Java, and C++ to support real-time processing.

The Data Acquisition group seeks engineers who can design scalable data systems, collaborate across data infrastructure and vehicle software teams, and contribute to a resilient, data-driven future for mobility.