Hybrid Platform Support Data Engineer - Optimize Enterprise Data

Charles Schwab

Austin (TX)

Hybrid

USD 110,000 - 160,000

Full time

7 days ago
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Benefits offered by this job

401(k) with company match
Paid time off and sabbatical
Parental leave and family benefits
Tuition reimbursement
Health, dental, and vision insurance

Job summary

Charles Schwab in Austin, TX seeks a Platform Support Data Engineer on the SAMS Technology team. You will ensure resiliency, stability, and performance of enterprise data platforms, partnering with engineers and business stakeholders to optimize databases, pipelines, and environments.

Responsibilities include troubleshooting production issues, implementing monitoring, automating manual tasks, supporting releases, and driving operational excellence to improve availability, scalability, and

Qualifications

  • 3+ years of experience supporting enterprise applications and database platforms.
  • Experience in release engineering and deployment pipelines.
  • Experience implementing automation and DevOps practices.
  • Experience monitoring applications and platforms.
  • Knowledge of SDLC, IT infrastructure, and networking.
  • Experience with Agile environments and cross-functional partners.

Responsibilities

  • Troubleshoot production-support challenges and improve platform performance.
  • Maintain and enhance database environments and release support.
  • Implement monitoring and automation to reduce manual effort.
  • Collaborate with engineers, developers, and stakeholders.

Skills

Database administration
Release engineering
DevOps automation
Monitoring & observability
Agile teamwork
Problem solving

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Jenkins
GitHub
Bitbucket
Jira
Confluence
Splunk
AppDynamics
Linux/Windows

Job description

Charles Schwab in Austin, TX seeks a Platform Support Data Engineer on the SAMS Technology team. You will ensure resiliency, stability, and performance of enterprise data platforms, partnering with engineers and business stakeholders to optimize databases, pipelines, and environments.

Responsibilities include troubleshooting production issues, implementing monitoring, automating manual tasks, supporting releases, and driving operational excellence to improve availability, scalability, and

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