Data Engineer II

About the role

We’re Scan.com, the digital health scale-up making diagnostics accessible, fast, and transparent. Our technology speeds up diagnoses for timely treatments, improving healthcare outcomes for hundreds of patients each day. We're doing diagnostics differently, with solutions tailored to both patients and providers, all backed by our technology and world-class customer operations team. Our B2C marketplace simplifies booking a scan, making it as straightforward for patients as booking a hotel. Our B2B platforms provide live scheduling at the point of care and harness AI to ease workflows for physicians, attorneys, and providers.

Responsibilities

• Build and maintain dbt models that transform raw source data into reliable, well-documented, tested analytical assets used across the business
• Partner with stakeholders across Operations, Finance, Marketing, Sales, and Product to translate ambiguous business questions into precise analytical deliverables
• Identify gaps in our data coverage and work with engineering or independently to close them. This can mean writing a Python ingestion pipeline or modeling a new source
• Maintain data quality standards across the warehouse: write dbt tests, monitor for anomalies, and ensure that the numbers stakeholders see are trustworthy
• Contribute to the team's analytical infrastructure. This means shared macros, source definitions, documentation standards, and CI/CD practices
• Stretch into various data science or data engineering projects based on business demand and based on your own personal development: pipeline development, ML feature preparation, or predictive modeling

Qualifications

• Strong SQL: you write complex queries fluently, understand query performance, and don't need a template to construct a multi-stage transformation
• Hands-on experience with a modern data transformation tool, ideally dbt or SQLMesh. You understand the model DAG, have written tests and documentation, and are familiar with CI/CD practices in a transformation layer
• Experience with a modern cloud data warehouse, ideally Snowflake or BigQuery — you understand how storage and compute interact and can write warehouse-idiomatic SQL
• Proficiency with a BI tool such as Tableau, Metabase, Sigma, or Omni — you can design a dashboard that stakeholders actually use, not just one that technically answers the question
• Python for data work. Ingestion pipelines with libraries like dlt, pandas-based transformation scripts, or scripted automation of manual reporting processes
• Strong stakeholder instincts: you have worked directly with non-technical stakeholders to scope and deliver analytical work, and you know how to translate between business language and data model logic

Skills

• AI-Native: you build with AI directly, shipping, automating, or prototyping real work with LLMs and agents, and have clear judgment on where humans must stay in the loop
• Startup experience is a plus. You are comfortable with ambiguity, can prioritize without perfect information, and don't need a fully defined ticket to get started
• Healthcare experience is a plus, particularly in imaging, RCM, or provider operations — but strong analytical fundamentals in any high-velocity domain are equally valued

Benefits

• Competitive salary range, plus performance bonus and equity
• 401k
• Healthcare, Vision, and Dental
• All equipment needed to do your role effectively
• Flexible and remote/hybrid working options
• Personal development budgets
• 18 days PTO plus public holidays
• 10 paid sick days

Pay

Competitive salary range, plus performance bonus and equity

Schedule

Flexible and remote/hybrid working options