Data Platform Engineer: Cloud Data Services (Snowflake/AWS)

Toyota North America; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health care and wellness plans

401(k) with company match

Paid holidays and paid time off

Relocation assistance

Job summary

Toyota Financial Services (TFS) Data Platform Engineering seeks a Data Platform Engineer to build scalable data services, APIs, and cloud infrastructure using Snowflake, AWS, and Python. You will collaborate with architects, software engineers, and business partners to deliver secure, maintainable platform solutions across the enterprise.

The role emphasizes API development, microservices, CI/CD, and containerized deployments with Docker and Kubernetes, ensuring resilience and performance in a

Qualifications

• Bachelors degree or higher in computer science, information systems, engineering, or a related field.
• 2+ years of experience in software engineering, data engineering, or platform engineering.
• Strong experience in Python programming.
• Hands-on experience with Snowflake.
• Working knowledge of AWS services relevant to data and application platforms.
• Experience in API development and service integration.
• Solid understanding of microservices architecture.
• Experience supporting or orchestrating microservices using CI/CD pipelines.
• Practical experience with Docker and Kubernetes.
• Knowledge of software engineering and data platform delivery practices.
• Ability to troubleshoot and resolve technical issues in complex environments.

Responsibilities

• Develop and support data platform components, services, and integrations using Python.
• Build and maintain data workflows, data services, and platform utilities in Snowflake and AWS environments.
• Design and implement APIs that support data access, service integration, and platform interoperability.
• Contribute to microservices-based solutions and support orchestration across services.
• Create and maintain CI/CD pipelines to automate build, test, and deployment processes.
• Work with Docker and Kubernetes to support containerized deployment and runtime operations.
• Partner with engineering teams to ensure platform solutions are scalable, resilient, secure, and supportable.
• Troubleshoot application, data, integration, and infrastructure issues across the platform stack.
• Participate in code reviews, technical design discussions, and documentation updates.
• Follow engineering standards, security practices, and operational best practices.
• Support production readiness, monitoring, and issue resolution for platform services.
• Help improve platform reliability, performance, and maintainability through incremental enhancements.

Skills

Python

Snowflake

AWS services

API development

CI/CD pipelines

Docker

Kubernetes

Microservices

Troubleshooting

Data platform

Education

Bachelore244s degree in Computer Science, Information Systems, Engineering, or related field

Tools

Docker

Kubernetes

CI/CD tooling

Snowflake

Job description

Toyota Financial Services (TFS) Data Platform Engineering seeks a Data Platform Engineer to build scalable data services, APIs, and cloud infrastructure using Snowflake, AWS, and Python. You will collaborate with architects, software engineers, and business partners to deliver secure, maintainable platform solutions across the enterprise.

The role emphasizes API development, microservices, CI/CD, and containerized deployments with Docker and Kubernetes, ensuring resilience and performance in a