Staff Software Engineer - Data Ingestion & Analytics Platform

Rippling; San Francisco (CA); Vor Ort; USD 189.000 - 315.000; Vollzeit

Zusammenfassung

Rippling is hiring a Staff Software Engineer for Data Ingestion in San Francisco, CA. You will join the Data Cloud team building end-to-end analytics, ingestion, and BI systems, replacing traditional data lakes/warehouses with scalable pipelines.

You will handle billions of rows across multi-tenant systems and contribute to ML-driven analytics and copilot features. The role emphasizes ownership of data products, APIs, and platform components, with strong collaboration across teams and an

Qualifikationen

• 8+ years of software development experience in fast-paced environments.
• Strong CS fundamentals, architectures, and design patterns.
• Proven track record building large-scale applications, APIs, and developer tools.
• Excellent cross-functional collaboration and ability to articulate technical concepts.

Aufgaben

• Develop high-quality software with Python and data ingestion tech.
• Create data pipelines and processing products used at large scale.
• Create data platforms, data lakes, and data ingestion systems that work at scale.
• Have clear ownership of one or many products, APIs or platform spaces.
• Grow your engineering skills in different challenging areas and solve hard technical problems.
• Influence architecture, technology selections, and trends of the whole company.

Kenntnisse

8+ years experience

CS fundamentals

Large-scale applications

APIs

Cross-functional collaboration

Open-source contributions

Tools

Python

Apache Kafka

Iceberg

Temporal

Jobbeschreibung

Rippling is hiring a Staff Software Engineer for Data Ingestion in San Francisco, CA. You will join the Data Cloud team building end-to-end analytics, ingestion, and BI systems, replacing traditional data lakes/warehouses with scalable pipelines.

You will handle billions of rows across multi-tenant systems and contribute to ML-driven analytics and copilot features. The role emphasizes ownership of data products, APIs, and platform components, with strong collaboration across teams and an