Manager, Data Engineering

$131,325 - $179,900/Yr

Charles Schwab - Austin, TX

posted 13 days ago

Full-time - Manager
Austin, TX
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Manager of Data Engineering at Schwab is responsible for developing, maintaining, and supporting large-scale ETL and distributed Big Data applications. This role involves ensuring technical integrity and consistency of solutions, troubleshooting production application issues, and facilitating communication during outages. The manager will also assist development teams in meeting production readiness standards and navigate business stakeholders through technology service standards.

Responsibilities

  • Develop, maintain, and support large-scale ETL and distributed Big Data applications.
  • Work with platform architects to ensure technical integrity and consistency of solutions.
  • Proactively detect, troubleshoot, and resolve issues affecting production applications.
  • Provide clear, concise, and timely communication during investigations and resolutions of outages.
  • Ensure and carry out Change Management hygiene for all changes propagated to production.
  • Assist development teams in application development to meet Production Readiness standards.
  • Educate business stakeholders on Schwab Technology Services standards and policies.
  • Support Incident and Change Management processes with an understanding of system flows and technology landscape.
  • Update knowledge repository for seamless availability of information regarding support activities.
  • Service requests for data or activities requiring access to Production systems.

Requirements

  • Bachelor's in Computer Science, Computer Engineering, Mechanical Engineering, or a related field.
  • 60 months of progressive, post-bachelor's experience in a related occupation.
  • Experience with IICS, Oracle, Teradata, DB2, MS SQL, and Hive.
  • Experience with Autosys and Control M.
  • Proficiency in Shell Scripting, Toad, Nexus Query Chameleon, Remedy, Service Now, Jira, GitHub, Splunk, and Putty.
  • Experience with Talend and Cloud Data Platforms including Google Big Query, GCS bucket, Data Proc, or Snowflake.
  • Proficiency in Python Scripting.

Benefits

  • Competitive salary range of $131,325 to $179,900 per year.
  • Annual bonus opportunity and other eligible earnings.
  • Comprehensive benefits package.
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