Staff Data Cloud Engineer: Scalable Analytics & BI

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

Job summary

Rippling is building an end-to-end analytics and BI system to unify data for customers. You’ll work on ingestion, transformation, lineage, catalogs and visualization at scale, using Python, Apache Trino, Iceberg and Temporal.

Rippling aims to automate data workflows and enable ML-driven insights across a unified platform. You will own products and APIs, shaping architecture and driving cross-functional collaboration to deliver impactful engineering solutions that improve customer data

Qualifications

• 8+ years of software development in fast-paced environments.
• Solid CS fundamentals, architectures, and design patterns.
• Proven track record building large-scale apps, APIs and dev tools.

Responsibilities

• Develop high-quality software with attention to detail using Python and related tech.
• Create data visualization and query processing products at scale.
• Build data platforms, data lakes, and ingestion systems for large data.
• Own one or more products, APIs or platform areas with responsibility.
• Grow engineering skills and solve challenging technical problems.
• Influence architecture, tech choices, and company-wide trends.

Skills

Python

APIs

Cross-functional collaboration

Tools

Apache Trino

Iceberg

Temporal

Snowflake

DBT

Job description

Rippling is building an end-to-end analytics and BI system to unify data for customers. You’ll work on ingestion, transformation, lineage, catalogs and visualization at scale, using Python, Apache Trino, Iceberg and Temporal.

Rippling aims to automate data workflows and enable ML-driven insights across a unified platform. You will own products and APIs, shaping architecture and driving cross-functional collaboration to deliver impactful engineering solutions that improve customer data