Production Data Engineer – SRE & Data Pipelines

Toyota North America

Plano (TX)

On-site

USD 110,000 - 170,000

Full time

14 days+

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Job summary

Toyota North America is seeking a Production Data Engineer within the Toyota Financial Services Site Reliability Engineering team in Plano, TX. You will troubleshoot complex issues in financial software and collaborate with product and engineering teams to improve the product.

Responsibilities include incident management, root-cause analysis, and building scalable data pipelines across cloud platforms. You will work with AWS, Snowflake, MongoDB, and PostgreSQL, automate tasks, and help optimise

Qualifications

Bachelor's degree in information technology or related field.
Excellent troubleshooting and problem-solving skills.
Strong communication and collaboration skills.
Experience building and supporting full-stack data engineering solutions.
Experience developing reusable and scalable data frameworks.
Experience understanding functional and non-functional requirements gathering.
3+ years of experience designing and implementing data pipelines across multiple systems and platforms.
5+ years of experience of data and systems engineering principles across the data lifecycle.
4+ years of experience working with operational and analytical workloads.
Familiarity with Enterprise Data Warehouse, ETL, and Data Management concepts and processes.
Experience working with cloud-based, analytical, distributed, and open-source technologies.
Hands-on experience with AWS, Snowflake, MongoDB, and PostgreSQL.
Familiarity to Optimize cloud resource usage and cost through rightsizing and autoscaling configurations.
4+ years of experience to Automate operational tasks and incident response using scripting and infrastructure as code (Terraform, CloudFormation).

Responsibilities

Act as the primary point of contact for production support, managing and resolving tickets across various business units.
Triage and prioritize support tickets based on urgency and impact.
Conduct root cause analysis and apply critical thinking to solve complex problems.
Analyze trends in support tickets to proactively identify recurring issues and implement long-term solutions.
Document processes, resolutions, and recurring issues for knowledge management and training purposes.
Suggest and implement improvements to processes to reduce ticket volume and enhance efficiency.
Monitor system performance and proactively address potential issues.
Collaborate with the Major Incident Management team to address and resolve critical issues in the production environment.