Staff Data Engineer
PostscriptFull Time
Expert & Leadership (9+ years)
The ideal candidate is a backend engineer with experience in building robust, high-performance data pipelines and a passion for turning complex data into actionable insights. Experience with SQL, Python, and cloud data warehousing solutions is essential, along with a strong understanding of data modeling, ETL processes, and distributed systems. Familiarity with data privacy regulations and experience in a remote, fast-paced startup environment are highly desirable.
The backend engineer will be responsible for designing, developing, and maintaining scalable data pipelines and the core data warehouse infrastructure. This includes writing efficient SQL queries, developing data ingestion and transformation processes using Python, and optimizing data warehouse performance. The role involves collaborating with product and engineering teams to understand data needs, implementing data models, and ensuring data quality and reliability for various PostHog products.
Platform for product engineering and data integration
PostHog offers a unified platform that combines tools for product engineering and data integration, helping businesses focus on product development. Its usage-based pricing model decreases costs as clients use the platform more, and it includes a free tier for many users. The platform is adaptable with numerous use cases and is supported by tutorials and guides. Unlike competitors, PostHog does not have a sales team, providing recorded demos and personalized options instead.