Associate - Software Development & Engineering

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.

Required Qualifications

▪ Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent practical 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)

What’s in it for you

At Schwab India, you’re empowered to shape your future. We support your growth through meaningful work, continuous learning, and a culture rooted in trust and collaboration – so you can build the skills to make a lasting impact. Our benefits are designed to care for your wellbeing, your family, and your long-term financial security.

Our Base Benefits, Wellbeing, And Total Rewards Include

Competitive compensation and retirement programs including Employee Provident Fund (EPF), Gratuity, and optional National Pension System (NPS) contributions

Robust Paid Time Off, including annual/privilege leave, sick and casual leave, public holidays, maternity/paternity leave, and more

Education assistance for continued learning to help you grow

Comprehensive medical insurance with Outpatient Department (OPD) services, including vaccination, pharmacy, dental, and vision coverage

Annual reimbursement for health check-ups and mental health support through our Employee Assistance Program (EAP)

Childcare (creche) reimbursement for eligible employees

Transportation and meal benefits that support your day-to-day work

Group life, personal accident, and critical illness insurance

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