Key skills
CloudETLPythonSQL.NETC#CGoAIClaudeELTData EngineeringAnalyticsBISnowflakedbtFivetranSaaSCommunicationRemote Work
About this role
Role Overview
- 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
- Nice to Have: 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.
Tech Stack
- Cloud
- ETL
- Python
- SQL
- .NET
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