Backend Data Engineer — ADAS Data Workflows

Woven by Toyota; Lansing (MI); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Health, dental and vision coverage

401k program

Flexible vacation policy

Family planning benefits

Job summary

Woven by Toyota is seeking an experienced backend software engineer with a strong emphasis on data engineering and analytics to design and deploy cloud-native workflows for large-scale ADAS simulation and evaluation. You will lead data pipelines, analytics applications, and traceability systems across cross-functional teams.

The role focuses on building scalable data workflows, data models, and API services, while ensuring high-quality testing and clear documentation.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 3+ years of professional software development experience in backend web services and data pipelines.
• Experience with Python in a web and data context.
• Experience with SQL and data schema design.
• Experience with data ingestion and ETL pipelines.
• At least 1 year experience with cloud computing (AWS, Azure, or Google Cloud).
• Familiarity with NoSQL database systems such as DynamoDB.

Responsibilities

• Build and optimize end-to-end data workflows from collection to user-facing tools.
• Create efficient data models and automation pipelines for ADAS systems and data analytics.
• Develop robust APIs to support data analytics applications.
• Implement comprehensive testing strategies to ensure application reliability.
• Communicate technical concepts and data findings effectively to non-technical team members and leadership.

Skills

Python

SQL

ETL pipelines

Cloud computing

DynamoDB

Education

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

Tools

Terraform

Job description

Woven by Toyota is seeking an experienced backend software engineer with a strong emphasis on data engineering and analytics to design and deploy cloud-native workflows for large-scale ADAS simulation and evaluation. You will lead data pipelines, analytics applications, and traceability systems across cross-functional teams.

The role focuses on building scalable data workflows, data models, and API services, while ensuring high-quality testing and clear documentation.