Production Data Engineer — Build Scalable Data Pipelines

TCC Toyota Motor Credit Corporation Company; Plano (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health care

401(k) with company match

Relocation assistance

Paid time off

Job summary

Toyota Financial Services aims to advance the reliability and performance of its production data platforms from Plano, TX. You will work within Site Reliability Engineering to troubleshoot, optimize, and scale financial software data workflows in a highly regulated environment.

The role emphasizes cross-functional collaboration, incident management, and continuous improvement of data processes across cloud-based technologies and open-source tools.

Qualifications

• Bachelor's degree in information technology or related field.
• 3+ years of experience designing and implementing data pipelines across multiple systems.
• Experience building and supporting full-stack data engineering solutions.
• Experience understanding functional and non-functional requirements gathering.

Responsibilities

• Design, build and optimize data pipelines across systems and platforms.
• Troubleshoot and resolve complex data issues in production.
• Collaborate with product and engineering teams to improve data products.
• Document processes, resolutions and recurring issues for knowledge sharing.
• Automate operational tasks and incident response using IaC tools.

Skills

Data pipeline design

Python

SQL

Cloud AWS

Snowflake

PostgreSQL

Terraform

GitHub

ETL

Communication

Education

Bachelor's degree in information technology or related field

Tools

AWS

Snowflake

MongoDB

PostgreSQL

Job description

Toyota Financial Services aims to advance the reliability and performance of its production data platforms from Plano, TX. You will work within Site Reliability Engineering to troubleshoot, optimize, and scale financial software data workflows in a highly regulated environment.

The role emphasizes cross-functional collaboration, incident management, and continuous improvement of data processes across cloud-based technologies and open-source tools.