Senior Data Software Engineer

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.

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About

The Role

This is a hands‑on, high‑impact role for someone who wants to drive 0→1 projects, engineer data systems with real architectural depth, and work across the stack.

You'll work with the latest in modern data tooling, build scalable data infrastructure, and solve challenging problems with sound engineering principles. Partner closely with peer Engineering teams and cross‑functional stakeholders—Data Science, Marketing, Biz Ops, Finance, and ML—to advance high‑impact projects while mentoring junior engineers and supporting their professional growth.

Examples of initiatives you may lead or contribute to include:

• Stand up high‑velocity streaming and batch data consumers and applications on AWS.

• Build scalable data‑ingestion frameworks for third‑party APIs.

• Build out our Iceberg data lake by bringing in data from diverse batch and streaming sources, advancing our tooling, and establishing robust access controls.

• Develop self‑service APIs and tools that enable stakeholders to leverage the data platform independently.

What You'll Do

• Drive quarterly planning and define the vision and roadmap for key pillars of our practice.

• Lead teams to deliver multi‑quarter initiatives from design through deployment.

• Elevate the team by reviewing designs and code and championing high engineering standards.

• Participate in the on‑call rotation; improve monitoring, alerting, and internal SLAs for existing pipelines and systems.

Qualifications

• 6+ years of experience in data and software engineering.

• Proven ability to build high‑quality software with strong engineering rigor.

• Deep expertise in designing scalable AWS infrastructure using infrastructure‑as‑code frameworks such as Terraform or Cloud Formation.

• Hands‑on experience developing terabyte‑scale ETL pipelines and data‑ingestion systems.

• Hands‑on experience building and operating data lakes preferably on AWS infrastructure.

• Experience developing large‑scale data applications and APIs, along with developer tools and self‑service frameworks.

• Solid understanding of data security and governance principles and practices.

• BS/BA in Computer Science, Mathematics, or a related technical field.

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

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.

The pay range for this role is:

156,,000 USD per year (US Tier
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