Staff Software Engineer — Data Platform & Analytics

Rippling (Netherlands); San Francisco (CA); On-site; USD 189,000 - 315,000; Full time

Job summary

Rippling is hiring for a Data Cloud/Engineering role in San Francisco, CA, building an end-to-end analytics and BI system. You will own data ingestion, transformation, catalogs and visualization, with ML/LLM exploration for automated insights.

The role emphasizes building scalable data platforms, governance, and collaboration with product teams. A strong background in large-scale software and APIs is required, with open-source contributions considered a bonus.

Qualifications

• 8+ years of software development experience in fast-paced environments.
• Solid understanding of CS fundamentals, architectures, and design patterns.
• Proven track record in building large-scale applications, APIs, and developer tools.
• Excellent cross-functional collaboration, able to articulate technical concepts to non-technical partners.
• You thrive in a product-focused environment and are passionate about making an impact on customer experience.
• Bonus points for contributing to open-source projects (Apache Iceberg, Parquet, Spark, Hive, Flink, Delta Lake, Presto, Trino, Avro).

Responsibilities

• Develop high-quality software with attention to detail using tech stacks like Python, Apache Trino, Iceberg, Temporal.
• Create Data visualization and query 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
• Build and grow your engineering skills in different challenging areas and solve hard technical problems
• Influence architecture, technology selections, and trends of the whole company

Skills

Software development

CS fundamentals

APIs

Cross-functional collaboration

Tools

Apache Iceberg

Parquet

Spark

Hive

Flink

Delta Lake

Presto

Trino

Avro

Job description

Rippling is hiring for a Data Cloud/Engineering role in San Francisco, CA, building an end-to-end analytics and BI system. You will own data ingestion, transformation, catalogs and visualization, with ML/LLM exploration for automated insights.

The role emphasizes building scalable data platforms, governance, and collaboration with product teams. A strong background in large-scale software and APIs is required, with open-source contributions considered a bonus.