Remote Senior Data Engineer

Description:

• RevenueCat is looking for a Senior Data Engineer to join their Data Team.
• The role involves managing the data platform and supporting efforts to create a product that helps developers increase revenue.
• The data tech stack includes SQL and Python, with infrastructure built on AWS, utilizing Aurora Postgres, Sagemaker, Dagster, DBT, Snowflake, ClickHouse, and Apache Kafka.
• In the first month, the new hire will meet with the team, understand the data platform, implement a project, and familiarize themselves with workflows and subscription business concepts.
• Within the first three months, the engineer will work independently on projects, participate in code reviews, and understand processes owned by the data team.
• By the six-month mark, they will review code, contribute to architectural discussions, and have shipped a major impact feature.
• Within the first year, the engineer will know all major system components, have their own initiatives for improvement, mentor new engineers, and influence organizational reliability and performance.

Requirements:

• Candidates must have 5+ years of experience as a data engineer, designing and maintaining complex systems.
• Proficiency in writing and debugging in Python and SQL is required.
• Familiarity with the Kafka ecosystem, including Kafka Clusters and Kafka Connect Clusters, is necessary.
• Experience with an orchestration tool, preferably Dagster, and maintaining supporting infrastructure is essential.
• Knowledge of Snowflake and/or ClickHouse or similar cloud data warehouses is required.
• Candidates should have a basic understanding of Kubernetes for deploying and monitoring helm charts and operators.
• Strong collaboration and communication skills in a fully-remote culture are important.
• A proactive attitude towards fixing issues and suggesting improvements is expected.
• Versatility and the ability to learn quickly are essential traits.

Benefits:

• The position offers competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator.
• There is a 10-year window to exercise vested equity options.
• The work environment is fully remote and flexible.
• Employees are encouraged to take 4-5 weeks of suggested time off annually for mental, physical, and emotional recharge.
• A $2,000 USD stipend for workspace setup and a $1,000 USD annual stipend for continuous learning are provided.