Backend Data Engineer - Scalable ETL & Cloud Workflows

Woven; Ann Arbor (MI); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Excellent health, wellness, dental and

Vision coverage

Job summary

Woven by Toyota is seeking an experienced backend software engineer focused on data engineering and analytics. You will design and deploy cloud-native workflows for large-scale ADAS data projects, build data pipelines, and create APIs for analytics tools.

Join a team delivering scalable data solutions, collaborating with cross-functional partners, and mentoring developers to advance mission-critical tooling.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a 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, Microsoft Azure, or Google Cloud)
• Familiarity with NoSQL database systems such as DynamoDB.

Responsibilities

• Build end-to-end data workflows from collection to user-facing tools.
• Create efficient data models and automation pipelines for data systems.
• 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.
• Collaborate with Product and internal customers to optimize workflows and user experience.

Skills

Python

SQL

ETL pipelines

APIs

Cloud computing

NoSQL DynamoDB

Data analytics

Web services

Education

Bachelor's or master's in CS/Engineering

Tools

AWS

Terraform

Azure

GCP

Job description

Woven by Toyota is seeking an experienced backend software engineer focused on data engineering and analytics. You will design and deploy cloud-native workflows for large-scale ADAS data projects, build data pipelines, and create APIs for analytics tools.

Join a team delivering scalable data solutions, collaborating with cross-functional partners, and mentoring developers to advance mission-critical tooling.