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