Senior Data Cloud Engineer - Analytics & ML Platform

Rippling; Seattle (WA); On-site; USD 168,000 - 280,000; Full time

Job summary

Rippling is hiring for a senior backend engineer to help build an end-to-end analytics platform that powers HR, IT, and finance workflows. You will work on distributed processing engines and next-gen data pipelines, using Python, MongoDB, CDC, Kafka, and related technologies to deliver scalable, reliable systems.

In this role, you will mentor junior engineers, own significant components, and collaborate with architects to shape product direction.

Qualifications

• 6+ years of backend engineering experience.
• Ability to write testable and performant backend code.
• Thrives in a fast-paced, dynamic environment.
• Experience mentoring less-experienced developers.
• Autonomy to explore creative solutions.

Responsibilities

• Work on distributed processing engines and databases.
• Develop high-quality software using Python, MongoDB, CDC, and Kafka.
• Leverage big data tech like Aurora, Trino, Presto, Pinot, Iceberg, Flink.
• Build data platforms, data lakes, and ingestion systems at scale.
• Design, develop, test, and improve software systems and UX.

Skills

Backend engineering

Testable code

Fast-paced env

Mentoring

Autonomy

Tools

Python

MongoDB

CDC

Kafka

Job description

Rippling is hiring for a senior backend engineer to help build an end-to-end analytics platform that powers HR, IT, and finance workflows. You will work on distributed processing engines and next-gen data pipelines, using Python, MongoDB, CDC, Kafka, and related technologies to deliver scalable, reliable systems.

In this role, you will mentor junior engineers, own significant components, and collaborate with architects to shape product direction.