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We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions.
As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace.
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.
- 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
- 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.
- 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.
- 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.
In Office Policy: Candidates within a commutable distance to one of the offices listed below will be expected to commit to a hybrid in office schedule if selected.
- Boston, MA
- Princeton, NJ
- New York City, NY
- West Palm Beach, Florida
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