Data Engineer

📋 Description

• Own the reliability, freshness, and scaling of the ingestion and orchestration pipelines that land
• Design, build, and scale the core dbt models (Bronze, Silver, Gold) for billing and usage, CRM
• Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse
• Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service
• Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and
• Extend the semantic views, context, and evaluations that let agents answer business questions

🎯 Requirements

• 5+ years (or equivalent) building and operating production data platforms, including the
• Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster, and
• Experience running data systems in production: monitoring, alerting, debugging, incident response
• Experience with warehouse access governance: RBAC, masking policies, and PII handling
• Strong data modeling judgment and an understanding of schema evolution
• Strong SQL and Python; disciplined engineering practices (tests, docs, reviews, CI/CD)

🎁 Benefits

• 401k matching
• Competitive Equity
• Healthcare, dental and vision coverage
• FSA, ST/LT Disability, Voluntary Life
• Carrot fertility benefits
• 20 days paid vacation + 10 holidays + unlimited sick leave