RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40 % of newly shipped subscription apps, we process $8 B+ in annual purchase volume, and we help everyone from a solo dev in Brazil to the OpenAI mobile team understand and grow their revenue.
We’re a remote‑first crew of 100+, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions of end‑users (and help the developers behind them get paid), you’ll fit right in.
About the role:RevenueCat is searching for a Senior Data Engineer to join our Data Team. In this role, your mission will be to help manage the data platform and to support our efforts in creating a product that will help developers make more money.
Our data tech stack leverages SQL and Python as core languages, our infrastructure is built on AWS (utilizing Aurora Postgres for our production database and Sagemaker for machine learning capabilities). Dagster is employed for orchestration, DBT for transformations, Snowflake serves as our data warehouse, ClickHouse as our event storage and Apache Kafka to move our data around 🙂
About you:You have 5+ years of experience working as a data engineer designing and maintaining complex/large/growing systems.
You are comfortable writing and debugging in Python and SQL.
You are familiar with the Kafka ecosystem, both Kafka Clusters and Kafka Connect Clusters.
You’ve worked with an orchestration tool (preferably Dagster) and have experience maintaining the infrastructure to support these.
You know your way around Snowflake and/or Clickhouse, or you have experience with similar cloud data warehouses.
You know enough about Kubernetes to feel comfortable deploying and monitoring helm charts and operators.
You collaborate well with others and can communicate effectively in a fully-remote culture.
You are proactive. When you see something broken, you jump on it to fix it or suggest improvements.
You are versatile and a fast learner.
You have experience maintaining your own infrastructure as code (preferably Terraform).
Meet frequently with your team and onboarding buddy to get up to speed.
Get a high-level understanding of the data platform and its different parts.
Implement and ship your first project.
Familiarize yourself with workflows and subscription business concepts.
Ability to operate the platform for daily needs.
Be able to scope and work on projects self-sufficiently.
Participate in code reviews, and contribute in other ways (testing, visibility, etc.) to improve reliability and quality of the codebase.
Understand every process owned by the data team.
Have an understanding of our pain points and suggest improvements.
Review code, create proposals, and contribute to architectural discussions.
Contribute to the team roadmap and technical direction.
Be an expert on a couple of your team’s focus areas.
Have shipped a major impact feature.
Help backend engineers to leverage and get the most out of the data platform.
Know all the major components of our system and be able to debug complex issues.
Have your own initiatives for improving the current status, understanding the current issues and priorities.
Be able to spec and architect medium-large projects, gather feedback and design validation and rollout plans.
Mentor other engineers joining the team.
Influence the org to improve general reliability, scalability and performance.
Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
10-year window to exercise vested equity options
Fully remote and flexible work environment
4-5 weeks of suggested time off annually for mental, physical, and emotional recharge
$2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning
Curious about the interview process? Discover more in our blog post about how we hire and learn tips to help you succeed.
