Production Support Engineer

At Schwab, you’re empowered to make an impact on your career.

Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab Technology Services enables how clients manage their money by delivering innovative, reliable technology that expands access to investing and financial planning.

Within this environment, Schwab’s Google Cloud Data & Analytics ecosystem powers firmwide insights across critical businesses including finance, risk, and brokerage—making data availability, reliability, and performance essential.

As a Production Support Engineer within the Schwab Data organization, you will play a critical role in ensuring the stability and reliability of enterprise data platforms operating at scale in a cloud environment.

This opportunity centers on maintaining the operational health of large-scale data pipelines and analytics services, where your ability to quickly diagnose issues, drive root cause resolution, and improve system resilience directly impacts business outcomes and decision-making.

You will collaborate closely with data engineering, platform engineering, and business stakeholders to ensure production readiness, optimize operational processes, and continuously improve system performance as data complexity and demand grow.

In this role, you will apply strong analytical thinking and problem-solving skills to monitor and support batch and streaming workloads, proactively identify risks, and enhance observability across the platform.

You will contribute to building more efficient, automated, and scalable support processes while strengthening incident response practices and operational discipline.

Your work will help ensure data integrity, availability, and trust across the enterprise while developing your expertise in cloud-based data ecosystems and modern data engineering operations.

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 2–3+ years of experience in production support, operations, or reliability engineering within data analytics, data engineering, or data warehouse environments