Data Engineer

The role

We are looking for a full-time Data Engineer to own the data platforms that finance, sales, and customer success run the business on. This position will report directly to the CFO and work closely with leaders across the company.

Snowflake is our warehouse and Tableau our reporting layer. We are modernizing how data gets in and how it is transformed, and you will help lead that work. Your job is to make the platform reliable, extend it to every core system, and deliver a single trusted view of each customer.

Occasional travel may be required to one of our Corporate office locations (Georgia and Utah)

What you'll do in year one

• 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

Additional information

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.

What you bring

Required

• 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

Nice to have

• 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

How we work

This role sits at the center of how the business runs, so responsiveness and clear communication matter as much as technical skill. We are explicit about what that means:

• Dedicated role. This is a full-time position with Curve Dental as your sole employer; no concurrent client or consulting work.
• Core hours. Available 10:00 a.m.-4:00 p.m. Eastern, Monday through Friday, regardless of your home time zone.
• Response times. Be a responsive, reliable partner to Sales, Account Management, and Finance: acknowledge requests promptly, follow up the same day, and treat production issues as a top priority.
• Visible work. All work lives in a shared backlog with status kept current. Changes go through version control and code review.
• Weekly cadence. A 30-minute priorities meeting with the CFO each week, plus a short written status update.
• Written first. Document and explain the logic behind every model and report you build: the assumptions, data sources, definitions, and calculations, so others can understand, trust, and maintain it
• Raise issues early. If a deadline is at risk or a request is unclear, say so the same day rather than at the deadline.

Compensation and benefits

We offer a competitive base salary and annual bonus, benchmarked to the market for this role and level. Benefits include health, dental, and vision coverage, a 401(k), paid time off, and a home-office setup for remote work.