Production Support Data Engineer

Support Charles Schwab’s cloud data and analytics ecosystem by leading production operations, incident response, and automation improvements for enterprise data platforms.

Responsibilities

• Own operational support for enterprise data platforms, large-scale batch workloads, and business-critical data applications.
• Anticipate, troubleshoot, and resolve production incidents; improve automation, platform resilience, and day-to-day operational stability.
• Drive production readiness activities, including releases, incident resolution, and operational change management.
• Partner with data engineering, platform, business, and external teams to strengthen data availability and service reliability.
• Set scalable support standards and improve monitoring and preventive controls.
• Communicate clearly during service disruptions and continuously refine processes to support secure, stable, reliable enterprise data operations.
• Participate in a scheduled on-call rotation, including occasional evenings, weekends, and holidays, to respond to critical incidents.

Requirements

• 7+ years hands-on production support experience in a data warehousing environment.
• 3+ years hands-on experience supporting ETL workloads; Informatica IDMC or IICS experience is highly preferred.
• 3+ years experience supporting data and analytics applications in Google BigQuery, preferably on GCP or a similar cloud data platform.
• Experience using support tools such as Splunk, Remedy, Jira, or equivalents.
• Proven capability to lead production support for enterprise data platforms, apply analytical thinking, and use 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 using scalable technical solutions.
• Experience with data analysis and quality assurance practices to support informed decision-making, operational performance, and product integrity.
• Track record communicating clearly and promptly during production incidents, coordinating cross-functional resolution, and engaging stakeholders through complex technical issues.
• Demonstrated technical leadership, including coaching, setting priorities, and supporting reliable delivery in production.
• Bachelor’s degree in computer science, engineering, or a related field.

Technologies

• Informatica IDMC, Informatica IICS
• Google BigQuery, GCP
• Splunk
• Remedy, Jira
• Control-M, AutoSys
• Airflow, Pub/Sub
• Linux, shell scripting, SQL

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
• Medical, dental and vision benefits
• 401(k) and employee stock purchase plans
• Tuition reimbursement to keep developing your career
• Paid parental leave and adoption/family building benefits
• Sabbatical leave available after five years of employment

Preferred Qualifications

• 5+ years of experience 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.

Location and Work Style

• Southlake, TX ; Austin, TX (onsite)
• Hybrid Work and Flexibility approach balances workplace flexibility, client needs, and in-person collaboration on a regular basis