Staff Software Engineer - Data Ingestion & Analytics Platform

Rippling

San Francisco (CA)

On-site

USD 189,000 - 315,000

Full time

4 days ago
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Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

8+ years experience
CS fundamentals
Large-scale applications
APIs
Cross-functional collaboration
Open-source contributions

Tools

Python
Apache Kafka
Iceberg
Temporal

Job description

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

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