Manager, Data Engineering - Hybrid

$131,325 - $179,900/Yr

Charles Schwab - Austin, TX

Full-time - Mid Level

Austin, TX

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

The Manager of Data Engineering at Charles Schwab is responsible for developing, maintaining, and supporting large-scale ETL and Big Data applications. This role involves ensuring technical integrity, troubleshooting production issues, and facilitating communication during outages. The position also requires collaboration with development teams and business stakeholders to meet production readiness standards and navigate technology policies.

Responsibilities

• Develop, maintain, and support large-scale and complex ETL and distributed Big Data applications.
• Work with platform architects to ensure technical integrity and consistency of solutions.
• Proactively detect, troubleshoot, and resolve all issues affecting production applications.
• Provide clear, concise, and timely communication during the investigation and resolution 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 end-to-end understanding of system flows.
• Update knowledge repository for seamless availability of information regarding support activities.
• Service all requests for data or activities requiring access to Production systems.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Mechanical Engineering, or a related field.
• 5 years of progressive, post-bachelor's experience in a related occupation.
• Experience with IICS, Oracle, Teradata, DB2, MS SQL, and Hive.
• Proficiency in Autosys and Control M, 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 and Snowflake.
• Proficiency in Python Scripting.

Benefits

• Paid parental leave
• Employee stock purchase plan
• Health insurance
• Dental insurance
• Tuition reimbursement
• Vision insurance
• 401(k) matching
• Sabbatical after every 5 years of service