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Counsel Health

Analytics Engineer

New York Office (Flatiron) (Remote)$185k–$210kfulltimemidAdded 1 month ago

About this role

Counsel, an AI-native healthcare startup, seeks an Analytics Engineer to build and maintain the semantic data layer that powers company-wide decision-making. You'll be the first dedicated analytics hire, establishing data standards and transforming raw warehouse data into trusted models that drive clinical and business insights.

What you'll do

  • Design and maintain core data models defining business metrics across clinical outcomes, revenue, and utilization
  • Implement dbt orchestration with CI/CD pipelines, alerting, and data quality testing
  • Build reverse ETL pipelines to feed modeled data back into production systems for cohorts and operational features
  • Establish and manage PHI access controls ensuring HIPAA compliance across the data layer
  • Partner with cross-functional stakeholders to translate business questions into structured data solutions
  • Set data modeling patterns and standards that shape the company's analytics maturity

What they're looking for

  • SQL and dbt
  • BigQuery, Snowflake, or Redshift
  • Data orchestration tools (Paradigm, dbt Cloud, Airflow)
  • Reverse ETL and production data integration
  • HIPAA and regulated industry data management
  • Data modeling and semantic layer design
  • Analytics engineering best practices
  • Cross-functional stakeholder communication

Benefits

  • Competitive salary and equity
  • High-impact role at forefront of AI-driven healthcare
  • Direct interface with executives at leading tech and healthcare organizations
  • Significant ownership and professional development opportunities
  • Hybrid or remote flexibility (NYC, Boston, or East Coast)
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Counsel Health

Counsel Health builds an AI-native healthcare platform that augments physicians with custom AI tools to improve clinical decision-making. The company is hiring for full-stack engineers, backend infrastructure specialists, and analytics engineers to support product development, data infrastructure, and cloud operations at a rapidly scaling startup.

View all jobs at Counsel Health

Likely interview questions

  • Walk us through a dbt project you've built from scratch—how did you structure it, and what patterns did you establish that you'd want to replicate here?
  • Describe your experience with reverse ETL. What production systems have you written data back into, and what were the trickiest parts?
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