Healthcare Data Analyst
Create advanced SQL/Spark SQL queries and prompt-engineered LLM workflows to transform healthcare claims data into clinical insights and automated policy tools. Requires 3-5 years SQL plus 2-3 years healthcare experience.
Data Engineer
Build core data infrastructure as the first Data Engineer, designing scalable warehouse/lakehouse, data pipelines, and models for KPIs and AI systems. Requires 3-5+ years experience with Python, SQL, and modern cloud data stack in startups.
140k – 195kNew York, NYData EngineeringOnsite3+ YOE
About the role
What you'll do
- Design and implement our first scalable data warehouse/lakehouse to support KPIs.
- Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools.
- Work with leadership to translate business metrics into concrete data models and schemas.
- Define and own data modeling standards and best practices.
- Implement monitoring, data quality checks, and observability around pipelines and core tables.
- Enable BI and data analysts through well structured models and self-serve friendly datasets.
- Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics.
Experience
- 3–5+ years of experience as a Data Engineer, ideally in a mid-stage startup.
- Solid programming skills in Python.
- Strong SQL skills and experience designing/data modeling for analytics
- Hands-on experience with a modern cloud data stack, such as:
- Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc.
- Orchestration/transformation: dbt, Airflow, Dagster, or similar.
- Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc.
- Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness).
- Strong understanding of data quality, testing, and monitoring practices.
- Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions.
Nice to have
- Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers.
- Experience in B2B SaaS, especially around revenue, usage, and customer health metrics.
- Prior experience as an early data hire or working in a small or medium, fast-growing startup.
Perks and Benefits (Full-time Employees)
- Competitive compensation and equity
- Unlimited PTO
- Up to 100% employer covered monthly healthcare premium (medical, dental, vision)
- Lunch provided via Sharebite, plus dinner for any later office days.
- Parental leave up to 12 weeks
- Tax free commuter and parking benefits
- Voluntary insurances (Life, Hospital, Critical Illness, Accident)
- Employee Assistance Program (Rightway)
- 401k
Skills
PythonSQLSnowflakeBigQueryRedshiftDatabricksdbtAirflowDagsterFivetran
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