Senior Data Engineer

RxSense is a healthcare technology company that provides enterprise platforms and data-driven solutions to improve pharmacy benefit management and prescription cost transparency. The Senior Data Engineer builds and maintains scalable data pipelines, optimizes data warehouse architecture, and supports analytics and business intelligence initiatives by integrating data across cloud-based healthcare platforms.

RxSense is seeking a Senior Data Engineer to help expand and optimize its data platform infrastructure that supports analytics, reporting, and operational systems across the organization. The role focuses on building scalable data pipelines, integrating diverse healthcare data sources, and ensuring reliable data architecture for business intelligence and product initiatives. The engineer will collaborate with cross-functional teams to enable data-driven decision-making while maintaining high performance and reliability across the data ecosystem.

Responsibilities:
- Design, build, and maintain scalable ETL pipelines for ingesting and transforming data
- Optimize SQL queries, scripts, and stored procedures to improve data processing efficiency
- Integrate and manage data from multiple sources while maintaining data quality and reliability
- Monitor data pipelines and troubleshoot performance issues or system bottlenecks
- Develop and maintain data models supporting analytics and reporting requirements
- Collaborate with product managers, analysts, and QA engineers to validate data requirements

Requirements:
- Minimum of 8 years experience working on data engineering or ETL development projects
- Strong experience with relational databases such as Snowflake, SQL Server, or Oracle
- Proficiency in SQL and Python for data transformation and query optimization
- Experience with cloud infrastructure including AWS services such as S3, EC2, and RDS
- Experience building ETL pipelines using tools such as Matillion, Informatica, Talend, or SSIS
- Strong knowledge of data warehousing concepts including star schemas and data modeling

Benefits:
- Competitive salary within the stated range
- Opportunity to work with modern cloud-based data technologies
- Collaborative environment with cross-functional teams
- Remote work flexibility

This role supports the development of scalable data infrastructure that enables healthcare organizations to improve pharmacy benefit management and deliver data-driven insights.