Design, build, and maintain trusted, scalable data models that power reporting, analytics, and product insights
Own the evolution of our data platform, unifying analytics tooling and fully replacing legacy admin and ad-hoc reporting
Develop and maintain robust ELT pipelines, transformations, and data stores that serve as the source of truth for billing, revenue, usage, and customer success workflows
Apply strong data modeling and warehousing principles to create analytics-optimized tables that are well-documented and easy to use
Partner with stakeholders to understand business questions, translate them into data models, and educate teams on how to operationalize analytics effectively
Proactively identify opportunities to improve reporting or data reliability and build proof-of-concepts to validate solutions with the business
Write high-quality, secure, maintainable, and testable production code, following best practices and thoughtful tradeoffs
Contribute to a culture of craftsmanship through code reviews, documentation, and continuous improvement
Balance speed and quality, delivering quickly while building systems that scale with the company
Adapt to a wide range of challenges, learning new tools and skills as needed in a fast-moving environment

3+ years of professional experience in data engineering, analytics engineering, business intelligence, or a closely related role
Strong SQL skills and hands-on experience with data modeling for analytics use cases
Experience building and maintaining production data pipelines, transformations, and warehouses in a cloud-based environment
Comfort working with self-service BI and analytics tools, enabling non-technical stakeholders to answer their own questions
A hybrid mindset: you can think like a software engineer while deeply understanding analytical and business requirements
Experience supporting SaaS metrics such as revenue, usage, billing, or customer health reporting
Strong understanding of data warehousing concepts (fact/dimension modeling, performance optimization, data quality)
Proven ability to deliver quickly without compromising technical quality

Senior Data Engineer

Key skills