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# Staff Software Engineer - Data Cloud

- **Company:** CO-RIPPLING LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $189,000.0 - $315,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Apache HTTP Server, Cloud Computing, Data Visualization, Data Warehousing, Software Design Patterns, Programming Tools, Apache Hive, Python (Programming Language), Open Source Technology, Software Engineering, Parquet, Enterprise Software Applications, Data Ingestion, Large Language Models, Snowflake, Apache Spark, Data Lakes, Apache Flink, Avro, Apache Kafka, Data Management, Presto, Data Pipelines, Databricks
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/5e47250f-224d-429a-94a3-5705638f743d

## About the Role

* 8+ years of experience in software development, preferably in fast-paced, dynamic environments.
 * Solid understanding of CS fundamentals, architectures, and design patterns.
 * Proven track record in building large-scale applications, APIs, and developer tools.
 * Excellent at 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)

## Description

The Data Cloud team is building an end-to-end analytics and business intelligence system for our customers and will replace their need for Data Lakes, Data Warehouses and data pipelines. We are building systems for ingestion, transformation, lineage, data catalogs and visualization. Most companies cobble together data pipelines from Fivetran, Airbyte, Airflow, DBT, Snowflake, DataBricks, Kafka and a host of other technologies. Rippling is in the unique position of being the source of the vast majority of this data, hence we can provide an all encompassing solution out of the box.

In addition, we are exploring the use of ML and LLMs to provide automated insight generation and conversational experiences to allow data consumers to have a virtual data scientist as their analytics copilot.

What You'll Do:

 * 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


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