Job Description
At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.
Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations – it’s a chance to experiment, learn, and build within a values-driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.
Key Responsibilities
▪Build and enhance data pipelines to ingest, transform, validate, and publish datasets used for quantitative research and downstream analytics.
▪Implement data-quality controls (e.g., schema checks, completeness/accuracy rules, anomaly detection) and contribute to data lineage, documentation, and operational runbooks.
▪Contribute to our data platform and supporting services (APIs, shared libraries, workflow orchestration, scheduling), with an emphasis on maintainability, performance, and reliability.
▪Write clean, testable code and practice disciplined engineering: unit/integration tests, code reviews, version control, and adherence to Schwab development standards.
▪Collaborate with DevOps, production support, and partner technology teams to deliver supportable solutions, including CI/CD, monitoring/alerting, and day-2 operational readiness.
▪Participate in Agile ceremonies (standups, grooming, sprint planning, demos, retros) and communicate progress, risks, and dependencies clearly and early.
▪Support incident triage and problem management by analyzing logs/metrics, identifying root causes, and driving fixes to reduce recurrence (with mentorship as needed).
▪Apply security and compliance best practices (least privilege, secrets handling, secure coding) and follow data governance guidelines when handling sensitive information.
▪Leverage modern development tools—including AI-assisted coding tools where appropriate—to accelerate delivery while maintaining high quality, correctness, and proper review practices.
Requirements & Experience
▪ 0–2 years of software engineering experience (including internships, co-ops, undergraduate research, or substantial project work).
▪ Proficiency in at least one general-purpose programming language (e.g., Python, Java, C#, or similar) and comfort learning new technologies quickly.
▪ Working knowledge of data fundamentals: relational data concepts, writing SQL queries, and designing/debugging ETL/ELT-style data transformations.
▪ Understanding of core software engineering practices such as version control (Git), code review, and automated testing concepts.
▪ Ability to troubleshoot issues using logs/metrics and to communicate clearly with teammates and stakeholders about progress, risks, and next steps.
▪ Commitment to secure development and responsible data handling (e.g., least privilege, secrets management, and following data governance standards)
Qualifications
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent practical experience).