Data Engineer: Scalable ADAS Data Workflows & Cloud

re-zoo-me

Ann Arbor (MI)

On-site

USD 110,000 - 160,000

Full time

4 days ago
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Benefits offered by this job

Excellent health coverage
401k program
Flexible vacation policy
Family planning benefits

Job summary

Woven by Toyota is seeking a backend software engineer focused on data engineering and analytics for ADAS/simulation. You will design data pipelines, build scalable data models, and deliver cloud-native workflows for large-scale validation and analytics applications.

Experience with Python, SQL, NoSQL (DynamoDB), and cloud platforms is essential, along with strong communication skills and collaboration across teams. Hybrid/workflow options may apply.

Qualifications

  • Bachelor's or Master's degree in computer science, engineering, or related field.
  • 3+ years of professional backend software development experience.
  • Experience with Python in web and data contexts and SQL/schema design.
  • Cloud computing experience (AWS, Azure, or Google Cloud) and NoSQL familiarity (DynamoDB).
  • Strong problem-solving, written and verbal communication skills.

Responsibilities

  • Build and optimize end-to-end data workflows from collection to user-facing tools.
  • Create efficient data models and automation pipelines for AD/ADAS systems.
  • Develop robust APIs to support data analytics applications.
  • Implement comprehensive testing strategies and ensure reliability.
  • Collaborate with Product and cross-functional teams; mentor engineers.

Skills

Python
Problem solving
Communication
Data analysis

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

DynamoDB
SQL
Terraform
AWS/Azure/GCP
REST APIs

Job description

Woven by Toyota is seeking a backend software engineer focused on data engineering and analytics for ADAS/simulation. You will design data pipelines, build scalable data models, and deliver cloud-native workflows for large-scale validation and analytics applications.

Experience with Python, SQL, NoSQL (DynamoDB), and cloud platforms is essential, along with strong communication skills and collaboration across teams. Hybrid/workflow options may apply.

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