[Hiring] Data Engineer @NextGen Commerce

Role Description

• Build the scores and signals engine in Snowflake: scores for accounts, leads and opportunities, each with a reason, and signals (events that need follow-up) with an owner, action, due date and expiry.
• Make the engine configurable, so new teams are set up, not rebuilt.
• Extend matched and de-duplicated customer, contact and sales data from several sources.
• Build clean, well-governed data sets that apps and AI tools read from, including access through Snowflake-managed MCP.
• Publish scores and signals so all reporting uses the same numbers, and log every AI tool call (user, tool, app).
• Replace full-table exports from Salesforce with curated data feeds that are reliable and easy to change.
• Back-test scores against historical data to show which measures predict revenue.
• Set up data quality checks and monitoring, and tune performance and cost.
• Document data models, definitions and pipelines so the client's team can run them.

Qualifications

• 6+ years in data engineering, with 3+ years hands-on in Snowflake.
• Advanced SQL and strong data modeling skills.
• Experience with dbt or a similar transformation tool.
• Experience with data loading tools such as Fivetran.
• Python for data work.
• Snowflake features such as Streams, Tasks, Snowpipe and role-based access control.
• Git and CI/CD for data code.
• Experience with master data or record matching and de-duplication.
• Experience building scoring, rules or event-detection logic in SQL, Python or Snowpark.
• Strong spoken and written English.