On-Site Platform Support Data Engineer — Automation & Resiliency
Charles Schwab
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Job summary
Charles Schwab is seeking a Platform Support Data Engineer for the SAMS Technology team in Austin. You will help ensure resiliency, stability, and performance of enterprise data platforms, working with engineers, developers, and stakeholders to optimize databases, pipelines, and environments.
Responsibilities include troubleshooting production challenges, improving platform performance, and driving automation and observability.
Qualifications
- 3+ years supporting enterprise applications, software deployment pipelines, database platforms, or related environments.
- 3+ years of database administration, troubleshooting, performance tuning, or operations.
- Experience with release engineering and application configuration management.
- Automation solutions and DevOps practices to improve reliability.
- Monitoring applications and platforms using operational metrics to resolve issues.
- Knowledge of SDLC, infra tech, databases, OS, networking, and support best practices.
- Experience in Agile environments and cross-functional collaboration.
- Strong analytical, problem-solving, and communication skills.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
Responsibilities
- Troubleshoot production-support challenges and improve platform performance.
- Implement monitoring solutions and automate manual processes.
- Maintain and enhance database environments and support releases.
- Collaborate across teams to drive operational excellence and reliability.
- Help deliver secure, reliable, and high-performing technology solutions.
Education
Tools
Job description
Charles Schwab is seeking a Platform Support Data Engineer for the SAMS Technology team in Austin. You will help ensure resiliency, stability, and performance of enterprise data platforms, working with engineers, developers, and stakeholders to optimize databases, pipelines, and environments.
Responsibilities include troubleshooting production challenges, improving platform performance, and driving automation and observability.
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