Data Engineer

Curve Dental builds cloud-based practice management software for dental offices. The Data Engineer will own and modernize the data platform, integrate core business systems into Snowflake, and deliver trusted customer data and governed reporting for finance, sales, and customer success.

Responsibilities:

• Build Customer360. Design and deliver a unified customer model in Snowflake that ties together contracts, billing, payments, product usage, support, and sales activity. Every team should be able to answer "what is happening with this practice?" from one source
• Harden the warehouse. Modernize ingestion and stand up a transformation layer, then make the pipeline reliable: automated testing, alerting, and documented recovery when a load fails
• Own data models and metric definitions so finance and operating reports tie out
• Manage Snowflake performance and credit spend; report usage and cost monthly
• Set up access controls, environments (dev/prod), and version control practices
• Integrate core source systems. Bring and maintain, modeled data from Salesforce, Maxio, Stripe, Gong, and NetSuite into Snowflake, and resolve customer identity across them
• Support reporting. Partner with finance and RevOps to ensure dashboards and board metrics run on governed, tested data

Requirements:

• 3–6 years in data engineering, with at least 2 years running production workloads on Snowflake
• Strong knowledge and skills in SQL and Python
• Hands-on experience with a modern transformation framework such as dbt: modeling, testing, documentation
• Experience with managed ELT tools (such as Fivetran or Airbyte), including migrating pipelines between tools
• A track record of building dimensional or entity models that business users trust
• Comfortable working directly with non-technical stakeholders and translating business questions into data design
• SaaS data: subscriptions, billing, ARR, churn
• Salesforce data model experience; exposure to Maxio, Stripe, or NetSuite data
• Snowflake cost management (warehouses, resource monitors, query tuning)
• SnowPro certification
• Experience as the first or only data engineer at a growing company