Data Engineer
Core
Own the data foundation for an early-stage AI/ML software company, including warehouse, production pipelines, BI layer, and conversion tracking to inform business decisions and advertising platform bidding.
Role type
Senior Data Engineer
Builds
Data warehouse, production pipelines, BI dashboards, and conversion tracking systems
Domain
AI/ML software, advertising technology, SaaS metrics
Deliverable
production ML models
Required skills
Python engineering, ClickHouse, Snowflake/BigQuery/Redshift, BI tools (Hex/Metabase/Looker), metric definitions, conversion tracking, attribution, SaaS metrics (MRR/ARR/NDR/LTV)
Preferred skills
coding agents, financial close support
Technologies
ClickHouse, Postgres, Python, Hex, Metabase, Looker
Responsibilities
Own ClickHouse warehouse schema, ingestion, backfills, and performance; Build and operate reliable Python pipelines from various sources; Manage conversion tracking and attribution data; Build and maintain BI dashboards; Analyze retention, unit economics, and churn; Set up monitoring and alerts for metric changes (via careerplan.io/jobs/8c7a8b24-ad33-4a75-9a57-698a06366a30-data-engineer-at-clera)
Seniority
Senior, hands-on IC
