Charles Schwab · 1 day ago
Sr Data Engineering Lead
Austin, TX
Full-time
Hybrid
Senior Level, Lead/Staff
8+ years expCharles Schwab is a financial services company that empowers employees to make an impact on their careers. The Sr Data Engineering Lead will be responsible for building innovative AI solutions and developing data pipelines that support data-informed business decisions.
Financial Services
No H1B
Responsibilities
Building the next generation Generative AI solutions that shape the future of technology at Schwab
Contributing to the development and deployment of AI products that are instrumental in driving data-informed business decisions and elevating client experiences
Collaborating across teams to deliver scalable, secure, and high-performing AI systems that align with Schwab’s innovation strategy and operational goals
Qualification
Required
8+ years of ETL engineering experience, with 4+ years as a hands-on senior engineer
5+ years designing and developing scalable data pipelines that integrate with large, complex datasets across diverse environments including structured and unstructured data formats. Must be proficient in working with various API types (REST, SOAP, Graph), handling authenticated data sources, and implementing complex extraction procedures
5+ years building and maintaining production-grade data pipelines across multiple data delivery modes (streaming, batch) and data classification protocols (internal, confidential, PII)
5+ years of experience with data governance and risk frameworks, including metadata management and classification
Bachelor's degree in Computer Science, Data Engineering, Mathematics, Analytics, or related field
3+ years working hands-on with containers and cloud-native applications
Preferred
Strong ETL/data engineering fundamentals and experience across the tech stack
Commitment to quality—driving high standards including writing tests at all levels
Strong written and verbal communication skills to clearly convey ideas and feedback
Mentoring junior engineers and supporting their technical growth through code reviews and guidance
Mindset of continuous learning and improvement
Ability to solve complex problems with ambiguous or incomplete data in distributed systems
Demonstrated business domain knowledge relevant to previous products
Curiosity about new technologies and processes, proactively sharing knowledge and seeking improvement
Experience with Python preferred but not required
Master's or advanced degree in Computer Science, Data Engineering, Mathematics, Analytics, or related field
Benefits
401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 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
Company
Charles Schwab
We have plans for every turn you take.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
J
Jim McGreevy
Senior Project Manager
Recent News
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