Senior Software Engineer, Backend - Data Products
San Francisco, CA, Seattle, WA
- 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.
Work on distributed processing engines and distributed databases
Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka
Build custom programming languages within the Rippling Platform
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 Work on distributed processing engines and distributed databases Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka
Work on distributed processing engines and distributed databases Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more.
Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more. Build custom programming languages within the Rippling Platform Create data platforms, data lakes, and data ingestion systems that work at scale
What you’ll bring
All qualificationsCore experience
- 6+ years experience in backend engineering roles
- Experience writing testable and performant backend code
- Experience working in a fast-paced, dynamic environment
- Experience mentoring less-experienced developers
- Ability to thrive in an environment that grants you a lot of autonomy to explore creative solutions
Qualification wording
6+ years experience in backend engineering roles
Experience writing testable and performant backend code
Experience working in a fast-paced, dynamic environment
Experience mentoring less-experienced developers
Ability to thrive in an environment that grants you a lot of autonomy to explore creative solutions
Tools in this posting
- Python
- Airbyte
- Databricks
- dbt
- Fivetran
- Iceberg
- Kafka
- MongoDB
- Snowflake
- Trino
- Airflow
Source — Tool mentions in context
- Work on distributed processing engines and distributed databases - Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka - Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more.
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.
- Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka - Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more. - Build custom programming languages within the Rippling Platform
About Rippling
Rippling gives businesses one place to run HR, IT, and Finance.
In the employer’s words · Read in context
Job description
About Rippling
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.
Based in San Francisco, CA, Rippling has raised $1.4B+ 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 all 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
- Work on distributed processing engines and distributed databases
- Develop high-quality software with attention to detail using tech stacks like Python, MongoDB, CDC, and Kafka
- Leverage big data technologies like Aurora, Trino, Presto, Pinot, Iceberg, Flink and more.
- Build custom programming languages within the Rippling Platform
- Create data platforms, data lakes, and data ingestion systems that work at scale
- Design, develop, code, and test software systems, improvements, products, and user-facing experiences
- Work alongside software architects and senior developers doing state-of-the-art development work
- Contribute to product design and implementation discussions
- Find and build unique solutions to implement projects from the idea phase to production
What You'll Need
- 6+ years experience in backend engineering roles
- Experience writing testable and performant backend code
- Experience working in a fast-paced, dynamic environment
- Experience mentoring less-experienced developers
- Ability to thrive in an environment that grants you a lot of autonomy to explore creative solutions
Additional Information
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.
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.
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Source & posting history
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- Pay
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- Location & working pattern
San Francisco, CA, Seattle, WA
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- Status in our records
- Active
- First seen by us
- Jun 23, 2026
- Recorded sightings
- 124
- Last seen by us
- Oct 9, 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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