Associate - Data and Rep Technology

Your Opportunity

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.

The Data Engineer will work in our Data and Rep Technology (DaRT) organization that governs the strategy and implementation of the enterprise data warehouse and emerging data platforms. You will collaborate with partners across the firm to build the next generation analytics platform and capabilities for Charles Schwab. DaRT supports executive leadership, Sales, Marketing, and Finance teams by integrating and analyzing data to help them make data-based decisions through four primary opportunities:

• Data Science Frameworks
• Data Engineering
• Data Analytics
• Platform and Production Support

This team partners with our data scientists and business stakeholders to design intuitive data solutions and create the best-suited serving pipelines for their modeling and analysis needs. You will help drive the deployment of cross-functional applications, determine platform design and architecture, and set the vision to build and scale our machine learning and experimentation platforms.

This team designs, develops, and implements enterprise data integration solutions. You will have the opportunity to partner with other developers to set the future of the Data Warehouse through exciting and challenging projects and learning and using emerging technologies.

This team performs data analysis of enterprise integration solutions to transform data into actionable insights leveraging best-in-class technologies, analytics, and visualization tools.

This team builds next-gen enterprise data platforms, manages currency upkeep of existing platform assets, and matures those investments. The core functions include platform engineering, tenant-focused governance, capacity management, software upgrades, performance optimization, administration, lifecycle management, and maintenance

What You Have

• Undergraduate or graduate degree in Computer Science, Management Information Systems, or related discipline.
• Workforce training certifications through coding bootcamps.
• Ability to start full-time with the program on September 21, 2026
• Understanding of SQL development principles
• Experience with algorithm design
• Basic understanding of object-oriented analysis and design
• Familiarity with data structures
• Experience with data engineering, Extract, Transform, Load (ETL), Hadoop, MongoDB, Unix, Sqoop, HiveQL, or Pig Scripting is a plus
• Inventiveness and eagerness to work with experimental technology
• Passion and interest in solving problems applying innovation and experimentation
• Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship