Senior Data Engineer

🕒 February 28

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Capital Rx

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

Healthcare Insurance • Fintech • Artificial Intelligence

Capital Rx is the fastest growing healthtech company in America, dedicated to transforming the prescription pricing and patient care landscape. Founded in 2017, it offers innovative pharmacy benefit management (PBM) services, including customizable pharmacy benefits for large employers and an AI-powered care navigation platform. Capital Rx focuses on delivering cost-effective solutions and operational efficiencies to clients while ensuring transparency and quality care for patients.

📋 Description

• Build, test, and document Snowflake data models and business logic in dbt • Apply and improve data quality, testing, observability, and lineage standards • Collaborate with cross-functional partners to define data contracts and interfaces • Contribute to Capital Rx’s modular data platform and client-specific data configurations • Participate in design reviews; propose scalable, maintainable patterns • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes • Optimize cost and performance of jobs, storage, and queries with guidance • Write clear documentation and support knowledge sharing • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance

🎯 Requirements

• 5+ years in data engineering, software engineering, or related field • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling • Hands-on dbt experience (models, tests, documentation, deployments) • Experience with orchestration (Dagster or Airflow) and scheduling best practices • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred) • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools) • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness) • Effective communication and collaboration with technical and non-technical stakeholders • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories) • Performance tuning in Snowflake (warehouse sizing, clustering, caching)