Bitwarden is the trusted identity security leader for millions of users worldwide, empowering enterprises, developers, and individuals to securely manage and share sensitive information anywhere. Bitwarden makes it easy for all users to extend robust security across their devices with password management, secrets management, and passwordless and passkey innovations. The company is headquartered in Santa Barbara, California with team members located across the globe. Learn more at bitwarden.com.

As a Senior Data Engineer at Bitwarden, you will contribute directly to the future of the Bitwarden product and organization while working with a great team and amazing open source community. We’re looking for someone who can take ownership of building and transforming our data pipelines, logs, financial data, integrated solutions, and analytics in order to piece together dashboards and insights to help with strategic decision-making.

RESPONSIBILITIES
- Build and maintain ingestion and transformation pipelines across the data platform — Stripe billing, HubSpot CRM, product event data,



and internal application databases — landing into Delta Lake on Databricks
- Own pipelines end to end: schema evolution, CDC and incremental logic, backfills, data quality checks, and the alerting that makes silent failures loud
- Design and evolve data models across our layered Unity Catalog architecture (Raw, Prep, Global, Business, Department), balancing governance requirements with the reporting needs of downstream teams
- Partner with Sales, Marketing, Finance, RevOps, and Security to translate ambiguous business questions into durable datasets rather than one-off extracts
- Review PRs and provide constructive, pointed feedback to help fellow team members grow
- Contribute to shared internal libraries and pipeline frameworks so that patterns are reused instead of reinvented

WHAT YOU BRING TO BITWARDEN
- At least 5 years of skilled experience building and operating production data pi

📌 Senior Data Engineer (Noida)
🏢 Bitwarden
📍 Noida