Software Engineer II - Data Catalog

Rippling; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Rippling is seeking a backend-focused engineer to join the Data Catalog Team. You will help build the semantic intelligence layer of Rippling’s platform and contribute to data discovery, enrichment, governance, and lifecycle features.

With 2+ years in backend development using Python or Go, you will ship end-to-end components, collaborating with frontend, data, and product teams. This role is based in Bengaluru, India, and emphasizes clean design, strong judgment, and continuous improvement.

Qualifications

• 2+ years of professional backend development experience.
• Ability to deliver reliable, end-to-end projects.
• Prioritize projects based on business impact.
• Ability to switch between frontend and backend work as needed.
• Strong engineering judgment and pragmatic trade-offs.
• Clear, concise communication in design docs and reviews.
• Growth mindset and continuous improvement.

Responsibilities

• Data Discoverability: Catalog browse, search, and field‑selection experiences used throughout Rippling, enabling users to find relevant data across a growing schema.
• Data Enrichment: AI-generated semantic descriptions, glossary tagging, sampled values, usage signals, and RQL formula examples.
• Data Governance: PII classification, sensitive data tagging, compliance tagging, and integration with access controls.
• Data Lifecycle: Upstream and downstream dependency tracking, lineage visualization, and event-driven metadata sync to keep the Catalog accurate.

Skills

Backend development

Python

Go

End-to-end delivery

Communication

Growth mindset

Tools

React

TypeScript

Elasticsearch/OpenSearch

AI/ML-adjacent systems

Data governance concepts

Job description

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third‑party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.85B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America’s best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

About The Data Catalog Team

• The Data Catalog team is the semantic intelligence layer of Rippling's platform. Our mission is to make Rippling's data schema—spanning millions of fields across every product—discoverable, trustworthy, and actionable for both humans and AI. We are the authoritative source of truth for "data about data" within Rippling.
• We sit at the intersection of platform infrastructure and AI, powering core product surfaces like Workflow Automator, Reports, Supergroups, and Data Manager, while increasingly serving as the data backbone for Rippling's AI products—including the AI Assistant and AI Field Selection features.

What We Build

• Data Discoverability: Catalog browse, search, and field‑selection experiences used throughout Rippling, enabling users to find the most relevant data for their use case across a vast and growing schema.
• Data Enrichment: AI‑generated semantic descriptions, glossary tagging, sampled values, usage signals, and RQL formula examples—adding business context that makes raw schema meaningful.
• Data Governance: PII classification, sensitive data flagging, compliance tagging, and integration with access controls and auditing infrastructure.
• Data Lifecycle: Upstream and downstream dependency tracking, lineage visualization, and event‑driven metadata sync to ensure the Catalog stays live and accurate as Rippling's data model evolves.

What You Will Need

• 2+ years of professional experience with a focus on Backend development, demonstrating the ability to deliver reliable, end‑to‑end products using a backend language (e.g., Python/Go).
• Demonstrated ability to deliver reliable, well‑scoped projects end‑to‑end with a high standard of quality.
• Prioritize projects based on business impact, ensuring high‑quality implementation without unnecessary complexity.
• Ability to thrive in dynamic environments, quickly switching context between frontend and backend work as needed to accelerate delivery.
• Strong engineering judgment: ability to translate open‑ended requirements into clean technical designs and make pragmatic trade‑offs.
• Clear, concise communication of technical ideas— in design documents, code reviews, and cross‑functional discussions.
• Growth mindset: you proactively seek feedback, act on it, and hold yourself accountable to continuous improvement.

Bonus

• Working experience on frontend components for your own projects on and frontend technologies like React/TypeScript.
• Experience with search infrastructure (Elasticsearch, OpenSearch, or similar).
• Exposure to AI/ML‑adjacent systems—LLM integrations, semantic embeddings, or metadata enrichment pipelines.
• Familiarity with data governance concepts: PII classification, data lineage, or access control systems.

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [e-mail].

Rippling highly values having employees working in‑office to foster a collaborative work environment and company culture. For office‑based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.