Production Support Data Engineer
About The Position
At Schwab Technology Services, the Production Support Data Engineer supports Schwab’s cloud data and analytics ecosystem and leads operational support for enterprise data platforms, large-scale batch workloads, and business-critical data applications. The role combines hands-on technical expertise with production support ownership to anticipate, troubleshoot, and resolve production issues while improving automation, platform resilience, and operational stability. The position drives production readiness, releases, incident resolution, and operational change in collaboration with data engineering, platform, business, and external teams. It establishes scalable support standards, enhances monitoring and preventive controls, communicates during service disruptions, and continuously improves processes to deliver secure, stable, and reliable enterprise data operations. The role requires participation in a scheduled on-call rotation, including occasional evenings, weekends, and holidays, to support production environments and respond to critical incidents. The selected candidate is expected to work on site in the specified location(s). The role is also eligible for bonus or incentive opportunities in addition to the salary range.
Requirements
- 7+ years of hands-on production support experience in a data warehousing environment.
- 3+ years of hands-on experience supporting ETL workloads.
- 3+ years of experience supporting data and analytics applications in Google BigQuery, preferably GCP or a similar cloud data platform.
- Experience with Splunk, Remedy, Jira, or equivalent support tools.
- Ability to lead production support for enterprise data platforms and use 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.
- Experience using data analysis and quality assurance practices to support informed decision-making, operational performance, and product integrity.
- Ability to communicate clearly and promptly during production incidents, coordinate cross-functional resolution efforts, and engage stakeholders through complex technical issues.
- Demonstrated technical leadership, including coaching team members, setting priorities, and supporting reliable delivery in a production environment.
- Bachelor’s degree in computer science, engineering, or a related field.
Nice To Haves
- Informatica IDMC or IICS experience is highly preferred.
- 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.
Responsibilities
- Lead operational support for enterprise data platforms, large-scale batch workloads, and business-critical data applications.
- Anticipate, troubleshoot, and resolve production issues, identify root causes, and restore service.
- Improve automation, platform resilience, and operational stability.
- Drive production readiness, releases, incident resolution, and operational change.
- Collaborate with data engineering, platform, business, and external teams to strengthen data availability and service reliability.
- Establish scalable support standards, documentation, and support processes aligned with enterprise policies.
- Enhance monitoring and preventive controls, and communicate clearly during service disruptions.
- Improve data classification, storage, security, quality, and compliance through scalable technical solutions.
- Use data analysis and quality assurance practices to support decision-making, operational performance, and product integrity.
- Coordinate cross-functional resolution efforts and engage stakeholders through complex technical issues.
- Provide technical leadership, coach team members, set priorities, and support reliable delivery in a production environment.
- Participate in a scheduled on-call rotation, including occasional evenings, weekends, and holidays.
Benefits
- Bonus or incentive opportunities in addition to the salary range.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
