At Schwab, the Data and Rep Technology (DaRT) organization is responsible for the enterprise data warehouse and emerging data platforms. The Data Engineer will collaborate with partners across the firm to build the next generation analytics platform and capabilities for Charles Schwab, supporting executive leadership, Sales, Marketing, and Finance teams by integrating and analyzing data to help them make data-based decisions.
Requirements
- Basic understanding of data modeling
- 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
Responsibilities
- design intuitive data solutions
- create the best-suited serving pipelines for their modeling and analysis needs
- drive the deployment of cross-functional applications
- determine platform design and architecture
- set the vision to build and scale our machine learning and experimentation platforms
- designs, develops, and implements enterprise data integration solutions
- partner with other developers to set the future of the Data Warehouse through exciting and challenging projects and learning and using emerging technologies
Other
- Undergraduate or graduate degree in Computer Science, Management Information Systems, or related discipline with a graduation date of December 2025 or earlier and/or
- Workforce training certifications through coding bootcamps with a graduation date of December 2025 or earlier
- Ability to start full-time with the program on January 26, 2026
- 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
