Senior Software Engineer- Payroll Data

About this role

Not quite right? These jobs in Bengaluru match the same skills — apply to a few to improve your chances.

Optical and Communication - Sales

Yokogawa

In OfficeBengaluru

Apply

IT Operations Specialist - Communication

Airbus

In OfficeBengaluru

Apply

Lead Engineer, Communications & Messaging

Dyson

In OfficeBengaluru

Apply

Communication Networks Test Engineer

Hitachi

In OfficeBengaluru

Apply

Skills you'll use

What you'll do

• Own the design and evolution of payroll data models spanning earnings, deductions, taxes, contributions, and employer costs across 40+ countries, balancing correctness, extensibility, and query performance.
• Architect and scale materialization pipelines that transform raw payroll events and configurations into consistent, query-ready datasets for reporting, analytics, filings, and compliance.
• Define and maintain data contracts between the payroll data layer and its consumers — run management, tax engine, filings, object graph, RQL, and finance reporting — ensuring stability and clarity at every integration boundary.
• Tackle hard data modeling problems including temporal state management, multi-country regulatory variation, and bitemporal data patterns.
• Drive performance optimization across materialization and query paths, ensuring payroll data is available with the latency, freshness, and correctness guarantees that downstream systems require.
• Improve observability and operational tooling for data pipelines — monitoring for drift, staleness, schema violations, and materialization failures in a system where incorrect data has direct financial consequences.
• Lead cross-team technical discussions on data model changes, schema evolution, and materialization strategies that affect multiple payroll teams.
• Mentor engineers and raise the team's standards for data modeling rigor, pipeline reliability, testing, and documentation.

Who can apply

• Shape the long-term data architecture by working with stakeholders across payroll, platform, and analytics to anticipate new country launches, product features, and reporting requirements.
• 5+ years of professional software engineering experience with a strong focus on data modeling, data pipelines, or data platform work.
• Deep experience designing data models for complex, real-world domains — you think carefully about normalization, temporal state, schema evolution, and the trade-offs between flexibility and query performance.
• Strong backend engineering fundamentals, with experience in Python, Django, or similar stacks.
• Experience building and operating materialization or ETL pipelines — transforming event-driven or transactional data into consistent, queryable datasets at scale.
• Proven ability to design clean data contracts and interfaces consumed by multiple teams, with attention to backwards compatibility, versioning, and documentation.
• Strong debugging and problem-solving skills, particularly in systems where data correctness issues surface downstream and require tracing back through multiple layers.
• Comfort working in ambiguous, cross-functional environments where data model decisions require understanding both technical constraints and business domain nuance.

About Rippling

Searching for “Rippling jobs” or “jobs at Rippling”? You’re in the right place.