Data Engineer - Data Platform

📋 Description

• Design, build, and maintain core data infrastructure powering analytics and product data
• Ingest pipelines, warehouse modeling, data quality, and self-serve analytics platform (Hex +
• Collaborate with product, engineering, data analytics, and marketing teams

🎯 Requirements

• 3-5 years of production data engineering experience
• Experience building/operating data pipelines with Python, SQL, and tools like dbt, Airflow, Fivetran
• Experience with cloud data warehouses (e.g., Snowflake)
• Infrastructure as Code (Terraform, Pulumi) and CI/CD for pipelines/infra
• Experience with transactional DBs (PostgreSQL, Amazon RDS) and OLTP vs Warehouse workloads
• Collaborative, proactive mindset with ability to shift priorities as needed

🎁 Benefits

• Nice to have: exposure to recommendation/LLM-based product logic
• Experience with self-serve analytics tooling (Hex, Looker)
• Exposure to distributed systems concepts (partitioning, consistency, fault tolerance)
• Experience with BI/analytics tools (Mixpanel, Tableau)
• Data contract/data mesh patterns and warehouse RBAC/access governance familiarity
• Experience with event tracking or product analytics