Description

Your Opportunity

At 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).

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as a part of our ongoing commitment to democratize access to investing and financial planning.

As part of Schwab's AI Engineering & Operations team, you will be building the next generation Generative AI solutions that shape the future of technology at Schwab. In this role, you will contribute to the development and deployment of AI products that are instrumental in driving data-informed business decisions and elevating client experiences. You'll collaborate across teams to deliver scalable, secure, and high-performing AI systems that align with Schwab's innovation strategy and operational goals.

What you have

Required Qualifications:

• 8+ years of data engineering experience, with 4+ years as a hands-on senior engineer
• 4+ years developing scalable workflows and data pipelines that interface with large and complex datasets.
• 3+ years designing and implementing solutions utilizing Artificial Intelligence components such as NLP, LLMs, or machine learning techniques.
• Bachelor's degree in Computer Science, Data Engineering, Mathematics, Analytics, or related field.
• 2+ years working hands-on with containers and cloud-native platforms.

Preferred Qualifications:

• Strong 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.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.

Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.



Requisition #: 2025-117680

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Requirements

2025-117680