Senior Backend Engineer, Data Cloud & AI Analytics

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

Benefits offered by this job

Competitive salary

Benefits

Equity

In-office work policy

Job summary

Rippling seeks an experienced backend engineer to join the Data Cloud Team, focusing on distributed engines and large-scale data platforms. You will design, build, test, and optimize backend systems using Python, MongoDB, Kafka, and related big data tech.

Collaboration with architects and senior engineers is essential to shape product direction and delivery. The role emphasizes autonomy, mentorship, and a results-driven mindset in a fast-paced environment, with in-office policy and equity and

Qualifications

• 6+ years of backend engineering experience.
• Experience delivering testable, performant backend code.
• Ability to thrive with autonomy in a fast-paced environment.

Responsibilities

• Work on distributed processing engines and databases.
• Develop high-quality software with Python, MongoDB, Kafka.
• Leverage big data technologies like Aurora, Trino, Presto, Pinot, Flink.
• Build data platforms, data lakes, and ingestion systems at scale.
• Design, develop, code, test software systems and UX.
• Collaborate with architects and senior developers on state-of-the-art work.
• Contribute to product design and implementation discussions.
• Find unique solutions to take projects from idea to production.

Skills

Backend engineering

Mentoring

Autonomy

Distributed systems

Testing

Tools

Python

MongoDB

Kafka

Aurora

Trino

Presto

Flink

Iceberg

Job description

Rippling seeks an experienced backend engineer to join the Data Cloud Team, focusing on distributed engines and large-scale data platforms. You will design, build, test, and optimize backend systems using Python, MongoDB, Kafka, and related big data tech.

Collaboration with architects and senior engineers is essential to shape product direction and delivery. The role emphasizes autonomy, mentorship, and a results-driven mindset in a fast-paced environment, with in-office policy and equity and