Senior Specialist - Data Engineering

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).

In this role, you’ll play a meaningful part in supporting business and technology outcomes by partnering across teams to deliver reliable, scalable solutions that enable Schwab’s clients and employees.

You’ll be immersed in an environment that values continuous improvement, thoughtful execution, and accountability, where your ability to analyze needs, apply sound judgment, and collaborate effectively helps move work forward.

The opportunity offers exposure to complex initiatives, evolving priorities, and stakeholders across the organization, allowing you to deepen your expertise while contributing to work that matters.

• BS in Computer Science or Information Technology or related field
• 3+ years of experience contributing to cross-functional initiatives in a professional, corporate, or technology-enabled environment
• Demonstrated ability to apply critical thinking and problem-solving skills to support business or operational objectives
• Experience communicating clearly and effectively with partners, peers, and stakeholders
• Ability to manage multiple priorities, adapt to change, and deliver results with strong attention to detail
• 2+ years of hands-on experience working with AWS or GCP technologies or equivalent (BigQuery, GCS, DataProc etc.)
• Experienced with Python based ETL frameworks and UNIX/PERL/Python scripting
• Comfortable with DevOps concepts and Monitoring Tools
• Solid grasp of computer science fundamentals including data structures and algorithms.
• Proven ability to evaluate and apply new technologies in a short time.
• Proven understanding of the full software development lifecycle including testing, continuous integration, and deployment.