Senior Data Engineer - Growth Engineering San Francisco, CA - 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 all official communication will only be sent from @Rippling.com addresses.

About The Role

We are looking for an experienced data engineer to join our engineering team in our Revenue Operations org. As a senior member of the team, you will be leading the design and development of data pipelines and services to enable data-driven decision-making, as well as power BI, ML, experimentation, and user-facing features. You'd be expected to work closely with stakeholders across a variety of orgs, such as Data Science, Marketing, Bizops, Revops, Finance, and adjacent data teams to drive projects forward while supporting the professional development of junior team members.

Here’s an idea of some of the initiatives you could be working on:

• Build custom data pipelines to ingest data from third party data sources for our marketing and data science teams using Airflow and AWS resources.
• Build custom transformations and derived datasets to power audience segmentation, analytics, and data science.
• Own our marketing and sales data platform and the responsibility for defining the key datasets, schema, and building of tools to enable easy use of this data.

What You'll Do

• Architect, build, and scale our data pipelines for ingesting data from internal databases and systems, and third party tools into our warehouse.
• Help build out Marketing and Revenue Ops data platform and tooling.
• Support analytics, data science, machine learning, and business operations functions.
• Monitor and maintain pipelines and infrastructure to uphold internal SLAs.

Qualifications

• 5+ years of experience in data and software engineering.
• Expertise in writing complex data transforms in SQL and Python.
• Knowledge of data warehousing concepts around building custom ETL integrations and building data infrastructure (SCD, CDC, Snapshots, indexing, partitioning).
• Experience in analytics, dimensional modeling, and ETL optimization preferred.
• BS/BA in a technical field such as Computer Science or Mathematics preferred.

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.

The pay range for this role is: 135,000 - 236,250 USD per year (US Tier 1).