Data Engineer (5+ Years)

Data Engineer (5+ Years)

Key Responsibilities
• Implement affiliate/basic tracking as part of the Foundation phase
• Build affiliate tracking (advanced), sub-IDs & attribution, and basic analytics & reporting during MVP Launch
• Design and build the event pipeline using Kafka for real-time data ingestion
• Build and maintain analytical data stores using ClickHouse and/or BigQuery for fast reporting queries
• Develop advanced analytics and A/B testing & experiments infrastructure during Growth & Scale
• Build the advanced reporting suite and support scaling the data infrastructure in Phase 5
• Design SQL data models and APIs that power dashboards used by merchants, affiliates, and internal teams
Required Skills & Experience
• Experience building event-driven pipelines with Kafka (or similar streaming systems)
• Hands-on experience with ClickHouse and/or BigQuery for analytical workloads
• Strong SQL skills and experience designing data models for reporting and attribution
• Experience building and exposing analytics data through APIs
• Comfortable working across the stack from ingestion pipelines to reporting UI data contracts
Nice to Have
• Experience with marketing attribution, affiliate tracking, or ad-tech data systems
• Experience with A/B testing frameworks and experiment infrastructure
• Familiarity with data governance and privacy-aware tracking implementations