Senior Data Engineer - AI-Powered Data Pipelines

Toyota; Plano (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health care

401(k) with company match

Paid holidays

Relocation assistance

Vehicle purchase discount

Tuition reimbursement

Job summary

Toyota's Digital Innovations team in the Supply Chain group is seeking multiple Senior Data Engineers to build and maintain high-quality data infrastructure. You will design scalable pipelines, collaborate with product owners, and accelerate adoption of modern data platforms across the supply chain.

This role emphasizes end-to-end data engineering, data quality, and non-functional requirements like security and performance.

Qualifications

• 5+ years hands-on experience with modern data technologies.
• 3+ years ETL, Python and SQL knowledge.
• Proven track record delivering end-to-end data pipelines for analytics.
• Strong understanding of cloud-based Big Data tools and orchestration.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, Databricks, and Airflow/AWS Step Functions.
• Implement ETL processes to load data from enterprise sources into product datastores.
• Collaborate with product owners to refine requirements and acceptance criteria.
• Ensure data quality, validation, and reliability across datasets.
• Address non-functional requirements: security, performance, scalability, and integrations.
• Troubleshoot data issues and work with cross-functional teams to deliver value.

Skills

Data architecture

End-to-end data pipelines

PySpark

Databricks

SQL

AWS (EMR/Redshift/S3)

Airflow

Terraform

Cloud engineering

CI/CD

DevOps

Communication

Tools

Databricks

Apache Airflow

AWS Step Functions

AWS Glue

Terraform

CloudFormation

Grafana

Datadog

Git

Job description

Toyota's Digital Innovations team in the Supply Chain group is seeking multiple Senior Data Engineers to build and maintain high-quality data infrastructure. You will design scalable pipelines, collaborate with product owners, and accelerate adoption of modern data platforms across the supply chain.

This role emphasizes end-to-end data engineering, data quality, and non-functional requirements like security and performance.