Senior Analytics Engineer

- Familiarity with and regular use of AI coding agents. You verify their output and know when they are not the right tool - Experience delivering a metrics or semantic layer used by both people and tools, with safe access controls for sensitive data - 5+ years of analytics engineering or equivalent experience, including contribution to a production dbt project with tests, CI, incremental models, and documentation - Strong SQL skills and enough Python experience to understand existing pipelines and build transformation tasks - Clear technical writing. You treat model documentation and metric definitions as part of the data product - Strong dimensional modeling judgment: you can design conformed entities and facts at the correct grain, and make clear decisions when source systems use conflicting definitions - Experience with Lightdash, or another semantic layer managed as code - Experience with legal, private equity, or financial services data, including restricted or client-sensitive information - AWS knowledge and familiarity with tools like Athena, Iceberg, and Spark - Experience setting standards or mentoring on a small team

Join our team as a Senior Analytics Engineer, where you will own the analytics data products that our internal teams rely on to make decisions. You will turn prototypes and one-off analyses into trusted, production-grade models and metrics. This hands-on role combines modeling judgment with stakeholder discovery and reports directly to the Director of…