Senior Analytics Engineer

📋 Description Partner with analysts, data engineers and business teams to design, build and maintain scalable Work alongside Clinical AI, LLMOps and Applied AI engineers to bring evaluations and LLM-powered Develop and manage data pipelines across regional workspaces on AWS and Azure, with accuracy Use strong SQL and analytical thinking to turn complex data into clear, usable structures for Design product event tracking with engineers so new features ship with data the business can trust. Contribute to customer-facing data products, such as the Heidi analytical API and data shares with 🎯 Requirements 3–5 years of experience in analytics engineering, data engineering or a similar data-focused role Strong proficiency in SQL and experience transforming data for analysis, reporting and product use Working knowledge of Python and PySpark. Experience with modern data platforms and workflows, ideally including dbt, Databricks, Airflow A solid understanding of data modelling, data quality and testing best practices. Ability to work with analysts, engineers, AI teams and business stakeholders to translate data 🎁 Benefits $1,000 annual learning and development budget $150/month health and wellness allowance $500 home office budget 26 weeks paid primary parental leave and 18 weeks paid secondary parental leave Fertility support up to $10,000 Four weeks of work from anywhere per year