Data Engineer, Artificial

• You're fluent in Python and SQL
• You've built, shipped and operated data pipelines in production (Airflow, Dagster, etc.)
• You've built and maintained dbt models in production
• You've worked with analytical databases (ClickHouse, Snowflake, BigQuery, DuckDB)
• You care deeply about data quality
• You're self-directed—you identify what to work on, not wait for tickets
• You're proactive, self-directed and comfortable being part of a small, autonomous team
• Bonus: you know a bit of Haskell (our core platform is written in it)
• Think you don’t meet every requirement? Please apply anyway. We value potential as much as experience, and we know that raw talent counts

Desirable

• Build and maintain scalable data pipelines (batch and streaming)
• Define data contracts for internal and external consumers
• Own data quality and governance: monitoring, alerting, lineage, documentation
• Create the core metrics layer (e.g. speed, conversion, pricing) that drives platform insights
• Optimize query performance and pipeline costs as data volume grows