skimmer - Data Engineer
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.
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
Benefits
• Competitive base pay + bonus potential • Generous medical, dental, and vision plans (we pay 100% of your premium and 50% of your dependents’) • Fantastic culture with a very strong eNPS- we work hard, celebrate wins, and learn as we go to always be improving to benefit our customers. • Immediate access to 401(k) with company match • Flexible PTO (MINIMUM of 10 days required every year) • 12 weeks paid parental leave for birthing parent, 6 weeks paid leave for supporting partner • Remote work friendly • Comprehensive learning and development budget • A manager dedicated to your development
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT