Senior Engineer, Data & Analytics

Greenbrook Medical is building a relationship-based primary care platform focused on improving outcomes and lowering costs for seniors. The Senior Engineer, Data & Analytics will own the analytics layer, reporting and BI, production systems, and partnership with the engineering team, building reliable data infrastructure and metrics that support business decision-making.

Responsibilities:

• The analytics layer: the dbt models and business logic that turn raw data into something usable, and the metric definitions underneath them
• Reporting and BI: the reporting layer the whole business reads from
• Our production systems: you take ownership of systems as they come in-house from our engineering partner, harden them, and keep making them better, with accountability for uptime & system integrity
• The partnership with our engineering team: you are the internal counterpart who knows both the business and the systems well enough to resolve most issues directly
• Build and maintain the dbt models and business logic our metrics and workflows depend on. Work within Google Cloud to iterate on our business logic and transformation infrastructure
• Ensure consistency in definitions across all surfaces at Greenbrook
• Work with the performance managers on what needs measuring and what good looks like in their areas
• Take on systems as they move from our engineering partner into steady state, and keep them healthy
• Be accountable for uptime & system integrity – catch ingestion and pipeline issues or logic bugs and resolve them within our SLAs. Develop monitoring and uptime reporting
• Ensure a performant system. Optimize workloads and runtime
• Keep improving what you take on rather than only maintaining it
• Be the counterpart our engineering partner can hand production work to, resolving what you can and escalating what needs them
• Build dashboards to support organizational decisionmaking
• Work closely with the business – sit in the operating meetings where the data gets used, so you know what decisions it feeds

Requirements:

• Fluency in dbt and Python
• Hands on experience with Health care datasets and interoperability frameworks which our business run on, including a deep understanding of claims, eligibility, EHR data, and frameworks such as FHIR and HL7
• A solid grasp of business fundamentals, enough to partner with business and clinical managers on defining metrics rather than only building to spec
• Experience owning production systems, including being the person who responds when something breaks
• Bachelor's degree required
• A mindset grounded in our core values of Heart, Excellence, Accountability, Resilience, and Teamwork
• New York City strongly preferred (Hybrid)
• Open to exceptional remote candidates