Staff Software Engineer - Data Cloud
Seattle, WA, San Francisco, CA, New York, NY
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingThe 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.
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.
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
From the employer’s posting
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.
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
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
What you’ll bring
All qualificationsCore experience
- 8+ years of experience in software development, preferably in fast-paced, dynamic environments.
- Solid understanding of CS fundamentals, architectures, and design patterns.
Qualification wording
8+ years of experience in software development, preferably in fast-paced, dynamic environments.
Solid understanding of CS fundamentals, architectures, and design patterns.
Tools in this posting
- Python
- Airbyte
- Databricks
- dbt
- Delta
- Fivetran
- Hive
- Iceberg
- Kafka
- Snowflake
- Spark
- Trino
- Airflow
Source — Tool mentions in context
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.
About the Role: 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.
- 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) Additional Information
About Rippling
Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.
In the employer’s words · Read in context
Job description
About Rippling
Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform.
By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take onboarding, for example. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.2B from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.
We prioritize candidate safety. Please be aware that official communication will only be sent from @Rippling.com addresses.
About the Role:
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
Qualifications:
- 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)
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on ats.rippling.com. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Seattle, WA, San Francisco, CA, New York, NY
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 9, 2026
- Recorded sightings
- 138
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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