Senior Data Engineer

Requirements:

• 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.

Nice to Haves:

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

What You'll Be Doing:

• 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.

Perks and Benefits:

• 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