Senior Backend Engineer, Data Cloud & Platforms

Rippling (Netherlands); San Francisco (CA); On-site; USD 168,000 - 280,000; Full time

Job summary

Rippling is building a unified analytics platform to empower customers with end-to-end data workflows. You will contribute to distributed processing engines and data platforms, using Python, MongoDB, CDC, and Kafka to enable scalable ingestion and transformation.

Join a team that designs data lakes, catalogs, and visualization layers, collaborating with architects and senior engineers to ship robust data solutions and ML-enabled insights for customers worldwide.

Qualifications

• 6+ years of backend engineering experience.
• Experience writing testable and performant backend code.
• Experience mentoring less-experienced developers.
• Ability to work autonomously in a dynamic environment.
• Comfort in fast-paced teams.

Responsibilities

• Work on distributed processing engines and distributed databases.
• Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka.
• Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more.
• Build custom programming languages within the Rippling Platform.
• Create data platforms, data lakes, and data ingestion systems that work at scale.
• Design, develop, code, and test software systems, improvements, products, and user-facing experiences.
• Work alongside software architects and senior developers doing state-of-the-art development work.
• Contribute to product design and implementation discussions.
• Find and build unique solutions to implement projects from the idea phase to production.

Skills

Backend engineering

Testable backend code

Mentoring

Autonomy

Fast-paced environment

Tools

Python

MongoDB

CDC

Kafka

Aurora

Trino

Presto

Flink

Iceberg

Job description

Rippling is building a unified analytics platform to empower customers with end-to-end data workflows. You will contribute to distributed processing engines and data platforms, using Python, MongoDB, CDC, and Kafka to enable scalable ingestion and transformation.

Join a team that designs data lakes, catalogs, and visualization layers, collaborating with architects and senior engineers to ship robust data solutions and ML-enabled insights for customers worldwide.