RevenueCat Logo

RevenueCat

Senior Data Engineer

Reposted 11 Days Ago
Remote
43 Locations
Senior level
Remote
43 Locations
Senior level
The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.
The summary above was generated by AI

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 $8B+ 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.

Bonus:
  • You have experience maintaining your own infrastructure as code (preferably Terraform).

In the first month, you'll:
  • 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.

Within the first 3 months, you'll:
  • 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.

Within the first 6 months, you'll:
  • 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.

Within the first 12 months, you'll:
  • 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.

What we offer:
  • 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.

Top Skills

Apache Kafka
Aurora Postgres
AWS
Clickhouse
Dagster
Dbt
Kubernetes
Python
Sagemaker
Snowflake
SQL
Terraform

Similar Jobs

2 Days Ago
In-Office or Remote
39 Locations
Mid level
Mid level
Blockchain • Software • Web3
Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.
Top Skills: AirflowSparkAws EmrBigQueryDagsterDbtPulumiPythonRedshiftS3SnowflakeSQLTerraform
16 Days Ago
Easy Apply
In-Office or Remote
33 Locations
Easy Apply
Senior level
Senior level
Cloud • Security • Software • Cybersecurity • Automation
Develop new features, review database changes, document best practices, and improve product performance in backend engineering focusing on data frameworks.
Top Skills: KafkaNatsPostgresRubyRuby On Rails
11 Days Ago
Remote
28 Locations
Senior level
Senior level
Information Technology • Consulting
Lead the design and implementation of ETL pipelines and data solutions on the Snowflake platform, optimizing performance and ensuring data quality and insights for business decision-making.
Top Skills: AWSAzureGCPPower BIPythonSnowflakeSQLTableau

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account