Data Engineer

Skimmer is seeking an experienced Data Engineer to help build and maintain the data models and customer-facing reports that power their product. The role involves owning data flows and transformations, partnering closely with product, engineering, and business stakeholders to deliver reliable analytics for customers.

Responsibilities:

• Build and maintain the data models and transformations that power reporting in the Skimmer product, leveraging tools like Fivetran transformations, dbt, and Sigma Computing materializations
• Build and maintain customer-facing data models and reports in Sigma Computing, embedded within the Skimmer application
• Manage and extend ingestion using Fivetran across a growing set of sources
• Develop and maintain data transformations in Python and SQL against our Snowflake data warehouse
• Partner with product and engineering to turn customer needs into reliable, performant reporting experiences
• Collaborate with application engineers to understand source systems and ensure clean, reliable data capture
• Monitor data quality, reliability, and report performance, and troubleshoot issues as they arise
• Document data models, definitions, and architecture to support a growing team

Requirements:

• Disciplined Problem-Solving: Proven ability to decompose complex business problems into structured, executable plans. You prioritize understanding the 'why' and 'how' of data before implementation
• Proactive Communication: Comfortable identifying ambiguity and proactively seeking clarity from stakeholders rather than making assumptions
• Ownership of Quality: A strong sense of ownership—you don't consider a task 'done' until it is validated, performant, and meets the documented requirements
• Demonstrated experience in data engineering, with a track record of owning data infrastructure end to end
• Strong SQL skills and hands-on experience with a cloud data warehouse (Snowflake preferred)
• Proficiency in Python for data transformation and automation
• Experience working with C#/.NET application environments and partnering with application engineers on source systems
• Experience with managed ingestion and transformation tooling (Fivetran, dbt, or similar)
• Hands-on experience building data models and reports in a BI/analytics platform (Sigma Computing a strong plus), ideally embedded in a customer-facing product
• Proficiency with AI coding tools like Claude or Cursor to work efficiently and raise your output
• Solid understanding of data modeling concepts and ELT/ETL best practices
• Strong communication skills and comfort working with both technical and non-technical partners
• Experience with embedded analytics or customer-facing reporting at scale
• Experience building data products in a SaaS or product-led company
• Experience with rigorous code review processes and contributing to maintaining high engineering standards within a team