Analytics Engineer

What you’ll be doing:

• Model core business domains into clear, documented star schemas (facts/dimensions) with stable names, units, and time grains.
• Design an LLM-friendly semantic layer (synonyms, metric definitions, query guardrails, row/column-level policies).
• Publish AI-safe consumption views/endpoints that enable constrained text-to-SQL with citations and data timestamps.
• Data quality & observability: add tests/monitors, anomaly alerts, and cost/freshness dashboards.
• Use Python to automate data quality checks, trigger alerts, or integrate new data sources into the modeling pipeline.
• Contribute to workflow automation by connecting your data products with internal agents and actions, using modern scripting or low-code tools.
• Partner & prioritize with stakeholders to unlock high-value internal questions and safe action workflows.
• Document & enablement: concise glossaries and examples for analysts and AI consumers.

What you need to have:

• 3+ years of experience in analytics/data engineering, preferably in high-growth environments.
• Strong command of SQL and experience building clean, tested, and well-documented data models (star/snowflake schemas).
• Solid understanding of data modeling best practices, semantic layers, and version control.
• Proficiency in Python for data tasks, especially scripting, testing, and API integrations.
• Familiarity with concepts of AI-safe data modeling (e.g., naming consistency, freshness metadata, guardrails).
• Curiosity and comfort working across data, product, and engineering teams.
• Excellent written communication, you’ll write for humans and machines.
• You should know how to use AI tools and techniques to enhance your daily productivity and decision-making.

What we would love to see:

• Experience enabling AI assistants, agents, or chat-based interfaces with structured data sources.
• Exposure to LLM-based systems (e.g., text-to-SQL, RAG pipelines) and the data prep they require.
• Experience integrating data pipelines with automation platforms (e.g., orchestrators, webhook triggers, workflow runners).
• Interest in building internal products that solve real business problems, and continuously iterating on them.
• A mindset of trust, stewardship, and safety when handling and exposing internal data.

To ensure you feel good solving a big Human problem, we offer:

• A stimulating, fast-paced environment with lots of room for creativity;
• A bright future at a promising high-tech startup company;
• Career development and growth, with a competitive salary;
• The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare;
• A flexible environment where you can control your hours (remotely) with unlimited vacation;
• Access to our health and well-being program (digital therapist sessions);
• Remote or Hybrid work policy. 
• To get to know more about our Tech Stack, check here.