[Remote] Actuarial Data Engineer

Note: The job is a remote job and is open to candidates in USA. Zerigo Health is a digital health company focused on improving treatment for chronic skin conditions. The Actuarial Data Engineer will own healthcare economics and performance-guarantee analytics, building models, measuring savings, pricing risk, and validating claims-based methodologies. The role partners cross-functionally to deliver defensible analysis and scalable analytics solutions for payer and PBM clients.

Responsibilities

• Build reusable, parameterized models that evaluate performance guarantees — incorporating opportunity findings, program performance, and savings assumptions to project performance against target with a confidence interval
• Design and build a standardized performance-guarantee measurement engine so recurring savings measurement runs consistently and at scale, rather than by hand
• Monitor realized savings against targets and guarantees on a recurring cadence, and own the exceptions — guarantees trending toward breach, client questions, and results that warrant investigation
• Serve as the quantitative authority on pricing the risk of new performance guarantees: build the pricing models and recommend terms, partnering with senior leadership who make the final call
• Take ownership of existing analytic models, including opportunity analysis — validate, document, and strengthen the methodology, and continuously improve it as real-world outcomes accumulate
• Run statistical analyses and author white papers that demonstrate the measured performance of our program; partner with clinical leadership where clinical-outcome methods are involved
• Establish trusted, well-documented, reusable analytics the wider organization can rely on, and serve as the go-to expert for core modeling
• Partner cross-functionally with data, finance, growth, clinical, and account teams to translate business questions into defensible analysis

Skills

• 5+ years (typically 5–8+) in healthcare economics, value-based contracting, payer/PBM analytics, or broader healthcare analytics, with genuine ownership of savings, ROI, or performance-guarantee methodology — not solely execution
• Deep command of pharmacy and medical claims data, GPI-level drug logic, plan design, and how savings guarantees are measured and priced
• Strong applied statistics — confidence intervals, variance and risk, cohort analysis — and actuarial-style risk thinking
• Proven model craftsmanship: reusable, parameterized, well-documented models, and the ability to reverse-engineer and validate inherited logic
• Advanced data modeling skills — how data should be structured, stored, and accessed to support reliable, scalable analytics
• Strong Python skills for clean data-transformation code, pipeline logic, and automation, plus SQL fluency for complex queries, aggregations, CTEs, and transformations against large datasets — self-sufficient extracting, joining, and shaping claims data end to end without relying on a data engineer
• Hands-on experience with Databricks (notebooks, workflows, Unity Catalog) and comfort building dashboards in tools such as Tableau, Power BI, or Databricks Dashboards
• Demonstrated ability to use AI tools (e.g., Claude Code) to accelerate and scale analytic work
• Excellent communication — able to explain complex methodology to executives and defend a number under client or auditor scrutiny
• Bachelor's degree in a quantitative, economics, health-policy, or related field, or equivalent experience
• Graduate training in health economics, biostatistics, or a related quantitative discipline; actuarial exam progress (full credentialing not required)
• Direct experience pricing or evaluating performance guarantees in a PBM, payer, or value-based-care setting
• Lakehouse architecture experience — Delta Lake, medallion (bronze/silver/gold) design patterns
• Git-based version control workflows and code review; exposure to CI/CD pipelines applied to data engineering
• Experience contributing to analytics or data products, not just one-off analyses
• Experience in a high-growth startup or digital health environment

Benefits

• Equity
• A performance-based bonus
• Medical coverage
• Dental coverage
• Vision coverage
• 401(k)
• Paid time off

Company Overview