Charles Schwab is hiring a Production Support Data Engineer to support the cloud data and analytics ecosystem. In this onsite hybrid role across Southlake, TX and Austin, TX, you will help keep enterprise data platforms and business-critical data applications running reliably, strengthen operational stability through automation and monitoring, and respond to production incidents when they matter most.
What you’ll do
- Lead operational support for enterprise data platforms, large-scale batch workloads, and business-critical data applications.
- Anticipate, troubleshoot, and resolve production issues while improving automation, platform resilience, and operational stability.
- Drive production readiness, releases, incident resolution, and operational change.
- Partner across data engineering, platform, business, and external teams to improve data availability and service reliability.
- Build scalable support standards, enhance monitoring and preventive controls, and communicate clearly during service disruptions.
- Continuously refine processes to deliver secure, stable, and reliable enterprise data operations.
- Join a scheduled on-call rotation, including occasional evenings, weekends, and holidays, to support production environments and critical incidents.
What you’ll need
- 7+ years of hands-on production support experience in a data warehousing environment.
- 3+ years supporting ETL workloads; Informatica IDMC or IICS is highly preferred.
- 3+ years supporting data and analytics applications in Google BigQuery, preferably on GCP or a similar cloud data platform.
- Experience with support tools such as Splunk, Remedy, Jira, or equivalents.
- Proven ability to lead production support for enterprise data platforms with analytical thinking and technical troubleshooting to identify root causes and restore service.
- Experience establishing operational standards, documentation, and support processes aligned with enterprise policies.
- Ability to improve data classification, storage, security, quality, and compliance through scalable technical solutions.
- Use data analysis and quality assurance practices to support informed decision-making, operational performance, and product integrity.
- Communicate clearly and promptly during production incidents, coordinate cross-functional resolution, and engage stakeholders through complex technical issues.
- Demonstrated technical leadership, including coaching team members, setting priorities, and supporting reliable delivery in production.
- Bachelor’s degree in computer science, engineering, or a related field.
Technologies you may use
Informatica IDMC, Informatica IICS, Google BigQuery, GCP, Splunk, Remedy, Jira, Control-M, AutoSys, Airflow, Pub/Sub, Linux, shell scripting, SQL
Preferred qualifications
- 5+ years with Control-M or AutoSys workload scheduling.
- Experience with Google Cloud data-processing services such as Airflow and Pub/Sub.
- Hands-on proficiency with Linux, shell scripting, SQL, and data analysis.
- Experience improving large-scale batch operations through automation, self-healing solutions, and continuous process improvement.
- Experience navigating incident and change management processes with an end-to-end understanding of system flows and the broader technology landscape.
Compensation
$140,000 - $145,000 per year.
Benefits
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation and volunteering
- 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Hybrid work and flexibility
Charles Schwab’s Hybrid Work and Flexibility approach balances workplace flexibility, service to clients, and the value of being together in person on a regular basis.
