Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

This position is based in Plano, TX, with a hybrid mix of some in-office time and some remote work.

Our people make all the difference in our success.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company – delivering on Toyota’s vision to move people beyond what’s possible. At TFS, you will help create best-in-class customer experiences in an innovative, collaborative environment.

Who We’re Looking For

Toyota Financial Services (TFS) is looking for a highly motivated and hands-on Data Engineer.

The primary responsibilities of this role is to prototype, build, operationalize, and support full-stack data solutions across the entire data processing pipeline. Aligning with the solution architecture team, this role will develop and productionize reusable and repeatable data frameworks to leverage and extend existing data feeds to deliver new capabilities to support TFS’ digital modernization.  

Reporting to the Manager, Data Engineering, this role will participate in functional requirements, define non-functional requirements, and build a pipeline for data to be stored, consumed, integrated, and managed by different data entities and systems, both operational and analytical systems using or processing that data. 

What you’ll be doing

• Apply data & systems engineering principles to develop code spanning the data lifecycle including ingest, transform, consume end to end from source to consumption for operational and analytical workloads that minimize complexity and maximize business value.  

• Work as part of an agile scrum team to deliver business value.

• Participate in design sessions to understand customers functional needs.

• Work with solution architect and development team to build quick prototypes leveraging existing or new architecture.  

• Provide end to end flow for data process, map technical solutions to the process. 

• Develop & deploy code in continuous development pipelines leveraging off-the-shelf and open-source components of Enterprise Data Warehouse, ETL and Data Management processes adhering to the solution architecture. 

• Perform software analysis, code analysis, requirements analysis, release analysis and deployment. 

What You Bring

• Bachelor’s degree in Computer Science or equivalent

• The candidate must have hands-on development experience in distributed, analytical, cloud-based and open-source technologies

• Experience building software for Data Ingestion & Data Movement ETL pipelines for Operational and Analytical systems

• Expertise coding and implementing data pipelines in cloud-based data infrastructure, analytical and no-SQL databases (AWS, Snowflake, MongoDB, Postgres)

• Hands-on programming experience in Python and/or Java, SnowSQL

• Experience leveraging build and deploy tools (Github, Gradle, Maven, Jenkins)

• Implementing software leveraging flow-based pipelines such as NiFi or Airflow and Streaming services such as Kafka

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