RxSense is a leading healthcare technology company delivering innovative solutions for pharmacy benefits and prescription savings. Our enterprise platform brings transparency, flexibility, and efficiency to pharmacy benefit management, helping clients streamline operations and enabling consumers to save on prescriptions. By integrating intelligence across the pharmacy ecosystem, RxSense makes cost-effective healthcare more accessible. Whether for PBMs, pharmacies, or individuals, our solutions help modernize operations, reduce costs, and improve outcomes.
RxSense also owns and operates SingleCare, a free prescription savings service that offers consumers access to consistently low prices on prescription drugs. Through its partnerships with the country’s largest pharmacies and grocers, including CVS, Walgreens, Walmart, Kroger and Albertsons, SingleCare improves access and adherence to affordable medications and has helped millions of Americans save over $11 billion on their medications.
RxSense is a great place to work! Our company has earned several prestigious awards, including Fast Company’s Most Innovative Companies, Forbes’ Top Startup Employers, Modern Healthcare's Best Places to Work in Healthcare, and Inc’s Best in Business and Best Workplaces.
Position Overview:
We are looking for an experienced Data Engineer with a strong foundation in data engineering best practices and experience with modern data warehousing and ETL platforms. The ideal candidate will have at least 5 years of hands-on experience, preferably with Snowflake, SQL Server, AWS and Matillion ETL, to build, optimize, and maintain data pipelines and data integration solutions. This role involves working closely with cross- functional teams to support data-driven initiatives across the organization.
Key Responsibilities:
Data Pipeline Development and Maintenance:
- Design, develop, and maintain scalable and high-performance ETL pipelines using Matillion ETL to ingest, transform, and load data into Snowflake.
- Integrate and manage data from various sources, ensuring data quality, reliability, and performance.
- Optimize SQL queries, scripts, and stored procedures in Snowflake and SQL Server to improve eKiciency and reduce processing time.
Data Warehousing and Modeling:
- Develop and implement data models within Snowflake to support business intelligence and analytics requirements.
- Collaborate with data architects and analysts to design and enhance data warehouse schemas and ensure alignment with reporting and analytics
Collaboration and Requirements Gathering:
- Work with business stakeholders to understand data requirements and translate them into technical specifications.
- Support data architects and analysts by providing guidance on data ingestion, storage, and retrieval methods.
Platform Monitoring and Optimization:
- Monitor data pipeline and ETL performance, identifying bottlenecks and making necessary adjustments to ensure optimal system performance.
- Perform troubleshooting and root cause analysis to resolve data issues and prevent future occurrences.
Required Qualifications:
- Experience: At least 5 years of experience in data engineering, with proficiency in Snowflake, SQL Server, AWS and ETL tools (preferably Matillion).
- Technical Skills: Strong SQL and Python skills with experience in query optimization and performance tuning.
- Education: Bachelor’s degree in computer science, Information Technology, or a related field.
- Soft Skills: Strong analytical, problem-solving, and communication
- Data Engineering Skills: Experience in building, maintaining, and optimizing data pipelines and ETL processes.
- Data Modeling: Knowledge of data warehousing concepts and hands-on experience in data modeling, particularly within Snowflake.
- Additional Tools and Platforms: Experience with additional ETL tools, data transformation methods, or cloud platforms is a plus.
- Healthcare and PBM: PBM-specific knowledge and experience with transforming various healthcare data is a plus, but not required.
Salary Range: 134,000 - 160,000
RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.
Top Skills
Similar Jobs
What you need to know about the Chicago Tech Scene
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
