Senior Data Engineer: AI-Powered Snowflake Pipelines

RxSense LLC; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

RxSense is a healthcare technology company delivering SaaS platforms that improve access to cost-effective pharmacy benefits. We design scalable data pipelines and end-to-end data flows on Snowflake, with a focus on reliability, observability, and maintainability across the platform.

The role emphasizes building robust data infrastructure with Airflow, dbt governance, and AI-driven tooling, enabling governance and efficient data consumption for analytics and operations.

Responsibilities

• Design and build scalable data pipelines on Snowflake.
• Architect end-to-end data flows from ingestion to gold layer.
• Own platform reliability, performance, and maintenance.
• Design and maintain Airflow workflows.
• Ensure pipeline reliability and observability with alerting and retries.
• Coordinate dependencies across upstream and downstream systems.
• Gold-Layer Modeling: Build dbt models with governance and version control.
• Define metrics as single source of truth.
• Push transformations upstream for consistent consumption.
• AI-Native Development: Use coding agents and AI tooling as primary workflow.
• Set up repos and environments for agentic systems.

Job description

RxSense is a healthcare technology company delivering SaaS platforms that improve access to cost-effective pharmacy benefits. We design scalable data pipelines and end-to-end data flows on Snowflake, with a focus on reliability, observability, and maintainability across the platform.

The role emphasizes building robust data infrastructure with Airflow, dbt governance, and AI-driven tooling, enabling governance and efficient data consumption for analytics and operations.