WriteWise
Healthcare Insurance • Fintech • SaaS
WriteWise is a modern risk transfer platform that aims to reduce health insurance costs in the U. S. by addressing drug costs, a rapidly rising expense in healthcare. Using a proprietary underwriting engine, WriteWise offers unique insurance products to contain pharmacy-related costs, providing protection against rising utilization and specialty costs while ensuring quality pharmacy coverage for employees at a lower price. The company connects various stakeholders in the insurance ecosystem, such as carriers, pharmacy benefit managers, and employers, to foster comprehensive solutions that enhance healthcare affordability and compliance with essential health standards.
2 - 10 employees
Founded 2023
⚕️ Healthcare Insurance
💳 Fintech
☁️ SaaS
Data Engineer, Analytics
Job not on LinkedIn
October 9
WriteWise
Healthcare Insurance • Fintech • SaaS
WriteWise is a modern risk transfer platform that aims to reduce health insurance costs in the U. S. by addressing drug costs, a rapidly rising expense in healthcare. Using a proprietary underwriting engine, WriteWise offers unique insurance products to contain pharmacy-related costs, providing protection against rising utilization and specialty costs while ensuring quality pharmacy coverage for employees at a lower price. The company connects various stakeholders in the insurance ecosystem, such as carriers, pharmacy benefit managers, and employers, to foster comprehensive solutions that enhance healthcare affordability and compliance with essential health standards.
2 - 10 employees
Founded 2023
⚕️ Healthcare Insurance
💳 Fintech
☁️ SaaS
📋 Description
• Own and evolve Thatch’s modern data stack (Redshift, dbt, Fivetran, Dagster/Airflow, Metabase, Hex). • Build reliable ELT pipelines to integrate internal systems and third-party APIs with strong observability and scale. • Model core business logic (e.g., plan years, employer funding, engagement metrics) into scalable dbt models. • Establish trust in data through monitoring, testing, and CI/CD best practices. • Collaborate cross-functionally to support analytics, experimentation, and strategic decision-making.
🎯 Requirements
• 3–5+ years of experience in data engineering, analytics engineering, or backend engineering with a data focus. • Strong software engineering skills (Python preferred) with experience in modular pipelines and tooling. • Advanced SQL and hands-on experience with dbt. • Familiarity with orchestration tools (Airflow, Dagster, Prefect) and modern data warehouses (Redshift, Snowflake, BigQuery). • Comfortable partnering cross-functionally with product, ops, and analytics.
🏖️ Benefits
• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development
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