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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Skimmer, Inc. - **Location:** Austin, TX, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, .NET Framework, Business Analytics Applications, C Sharp (Programming Language), Software as a Service, Code Review, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Cursor (Graphical User Interface Elements), Database Queries, Document-Oriented Databases, Python (Programming Language), SQL Databases, Data Streaming, Snowflake, Data Management - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/data-engineer-getskimmer-com-8694611 ## About the Role * 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. ## Description * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Are Code Reviews Worth It? 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