Forward Deployed Analytics Engineer

Join a healthtech team building AI-powered tools for healthcare finance. You will translate customer financial and clinical data into reliable transformations and a shared semantic layer, helping ensure the platform’s insights are accurate and trusted., * Review customer data models and work with finance and clinical teams to understand their source-of-truth logic.

• Turn under-documented payer contract, claims, reimbursement, and chart-of-accounts rules into durable, tested SQL transformations.
• Map customer data into a unified ontology and semantic layer within managed data pipelines.
• Own testing and validation to maintain a high standard of correctness.
• Collaborate with insights and product engineering teams to extend the ontology for new customer needs and data sources.

Team Building, Artificial Intelligence (AI), Clinical Data, Healthcare, Finance, Customer/Client Research, Data Modeling, Model Review, Reimbursement, SQL (Structured Query Language), * At least 5 years of experience in data or analytics engineering.

• Strong SQL skills and experience with Python, data transformation tools, and modern data pipelines.
• Hands-on healthcare data experience in claims, reimbursement, provider revenue cycle, or health system finance, in addition to any clinical or EHR experience.
• Experience authoring and owning SQL or dbt transformation models that encode healthcare business logic.
• Experience designing and shipping a data pipeline or platform end to end, along with customer-facing technical work such as integrations, solutions engineering, or forward-deployed work.
• A bachelor’s degree or higher in a quantitative or business-adjacent field, or equivalent hands-on healthcare data experience.
• Background in a fast-paced healthtech, health system, or healthcare consulting environment.
• Authorization to work in the United States without visa sponsorship.

Base salary: $150,000 to $200,000 annually. Visa sponsorship is not available.