Charles Schwab · 4 hours ago
Senior Data Engineering Lead
Charles Schwab is a financial services company that empowers individuals to manage their investments and financial planning. They are seeking a Senior Data Engineering Lead to build next-generation Generative AI solutions, contributing to the development and deployment of AI products that enhance data-informed business decisions and client experiences.
Financial Services
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
Bonus or incentive opportunities
Company
Charles Schwab
We have plans for every turn you take.
Funding
Current Stage
Late StageRecent News
2025-10-04
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