Staff Software Engineer - Data Cloud

Rippling; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Rippling in New York is hiring a senior software engineer for the Data Cloud team to build an end-to-end analytics and BI system that will replace the need for separate data lakes and warehouses. You will own data ingestion, transformation, catalogs, and visualization at scale.

Work with Python, Trino, Iceberg, Temporal, and ML/LLMs to generate automated insights as a conversational analytics copilot. Rippling emphasizes in-office collaboration and equity opportunities.

Qualifications

• 8+ years of software development in fast-paced environments
• Strong CS fundamentals, architectures and design patterns
• Proven track record building large-scale applications, APIs, and developer tools
• Excellent cross-functional collaboration and ability to explain technical concepts to non-technical partners
• Product-focused with passion for customer experience impact
• Bonus points for open-source contributions (Iceberg, Parquet, Spark, Hive, Flink, Delta Lake, Presto, Trino, Avro)

Responsibilities

• Develop high-quality software with attention to detail using 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

Skills

Python

Temporal

APIs

Data pipelines

Tools

Apache Trino

Iceberg

Parquet

Spark

Hive

Flink

Presto

Trino

Avro

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)

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 [e-mail]

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 40 mile 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.