Back-End Engineer

• Lead the development of the back-end services, including event ingestion architecture, data infrastructure, and ML pipeline
• Build a scalable, robust, and secure back-end to handle large amounts of event data and analytical processing on the modern data stack
• Create dedicated services to ingest and process millions of events daily
• Take responsibility for the core data pipelines and scale-up data processing flow
• Configure intuitive, stable, and extensible APIs
• Direct how data should be partitioned and infrastructure set up, optimize for security and latency
• Implement systems tracking the quality and consistency of data ingested by the company s clients
• Setup abstractions that empower others to ship quickly through a thoughtful and generalizable interface
• Take a leadership role in engineering syncs, reviewing design documentation and pull requests, and more

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 4+ years of relevant experience as a back-end engineer
• Extensive knowledge of Snowflake, BigQuery, Redshift, Airflow, etc
• Experience building data-heavy back-end systems
• Some knowledge of Scala
• Experience working with data warehouses like Snowflake, BigQuery, and Redshift
• Experience with third-party event sources such as Segment
• Nice to have some knowledge of Scala
• Proficiency in at least one of the SQL languages like MySQL, PostgreSQL, SQL Server, and Oracle
• Nice to have some experience with workflow management tools like Airflow, Oozie, Prefect, and Dagster
• Prior startup experience is nice to have
• Ability to progress rapidly, innovate, and build with open-source software