Staff Software Engineer - Data Ingestion

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.

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

What you will need

• 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)

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 [email protected]

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.