Staff Software Engineer - Data Ingestion
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+2 more
Requirements
- 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)
Benefits & conditions
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.
About the company
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., 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.
We just launched our data pipelines product to beta customers and have strong demand for over 100+ connector types. As we go to GA this will expand to thousands of connectors for 100s of thousands of customers moving billions of rows of data to power our data analytics and AI based analytics products. We support API based integration as well JDBC, Open Telemetry based data ingestion. We are at the forefront of agentic development through test harnesses at Rippling. In addition we need someone who can handle pipelines that sync billions or rows of data daily across a multi-tenant system with tens of thousands of customers.
What you will do
- Develop high-quality software with attention to detail using tech stacks like Python, Apache Kafka, Iceberg, Temporal.
- Create Data pipelines and 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
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Dev Digest 120 - Apple and peers
Is Software Engineering Over-Saturated?
How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again
Where To Find Software Engineering Jobs