{"id":3552719,"url":"https://alion.io/job/charles-schwab-production-support-data-engineer","title":"Production Support Data Engineer","company":{"id":2930000,"name":"Charles Schwab","domain":"schwabjobs.com","url":"https://alion.io/company/schwabjobs","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":{"grade":"A","score":100,"open_postings":37,"ghost_share":0,"stale_share":0,"repost_share":0.054,"time_to_fill_p50_days":6,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":111000,"max_usd":210000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"Jira","optional":false},{"name":"Splunk","optional":false},{"name":"Linux","optional":true},{"name":"Self-Healing","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-30T23:22:22Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-01T01:41:03Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Your Opportunity\nAt Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).\nSchwab Technology Services enables the future of how clients manage their money by delivering innovative, reliable technology products and services at scale. As a Production Support Data Engineer supporting Schwab’s cloud data and analytics ecosystem, you will lead the operational support of enterprise data platforms, large-scale batch workloads, and business-critical data applications.\nCombining hands-on technical expertise with strong production support ownership, you will anticipate, troubleshoot, and resolve production issues while improving automation, platform resilience, and operational stability. You will drive production readiness, releases, incident resolution, and operational change, collaborating across data engineering, platform, business, and external teams to strengthen data availability and service reliability. You will establish scalable support standards, enhance monitoring and preventive controls, communicate clearly during service disruptions, and continuously improve processes to deliver secure, stable, and reliable enterprise data operations.\nThis position requires participation in a scheduled on-call rotation, including occasional evenings, weekends, and holidays, to support production environments and respond to critical incidents.\nWhat you have\nRequired Qualifications\n7+ years of hands-on production support experience in a data warehousing environment.\n\n3+ years of hands-on experience supporting ETL workloads; Informatica IDMC or IICS experience is highly preferred.\n\n3+ years of experience supporting data and analytics applications in Google BigQuery, preferably GCP or a similar cloud data platform.\n\nExperience with Splunk, Remedy, Jira, or equivalent support tools.\n\nDemonstrated ability to lead production support for enterprise data platforms, applying analytical thinking and technical troubleshooting to identify root causes and restore service.\n\nExperience establishing operational standards, documentation, and support processes aligned with enterprise policies.\n\nAbility to improve data classification, storage, security, quality, and compliance through scalable technical solutions.\n\nExperience using data analysis and quality assurance practices to support informed decision-making, operational performance, and product integrity.\n\nProven ability to communicate clearly and promptly during production incidents, coordinate cross-functional resolution efforts, and engage stakeholders through complex technical issues.\n\nDemonstrated technical leadership, including coaching team members, setting priorities, and supporting reliable delivery in a production environment.\n\nBachelor’s degree in computer science, engineering, or a related field.\n\nPreferred Qualifications\n5+ years of experience with Control-M or AutoSys workload 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