Data Engineer

August 26

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Avalere

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Avalere is a strategic advisory company whose core purpose is to create innovative solutions to complex healthcare problems$1. .$1

Health insurance and reform • Evidence-based medicine • Reimbursement and product commercialization • Health economics and outcome research • Healthcare networks

201 - 500

Description

• Design, develop, deploy, and maintain scalable data ingestion processes to extract valuable insights and intelligence from large and complex medical datasets • Design, build, and maintain robust data pipelines and platforms • Lead and contribute hands-on to major data engineering initiatives from inception to delivery • Develop and optimize complex SQL queries and data models for high-performance analytics • Evaluate and recommend appropriate data storage solutions, ensuring data accessibility and integrity within Snowflake • Proactively identifies and capitalizes on opportunities for efficiency, sustainability, innovation, and standardization through efforts such as data consolidation and automation • Develop and continuously optimize data ingestion processes for improved reliability and performance • Collaborate with cross-functional teams to deliver data-driven insights using technical expertise • Develop and implement Python-based analytics solutions within the Snowflake environment • Create and maintain custom packages and handle advanced package management in Snowflake • Provides direct and responsive support for urgent analytic needs • Translates loosely defined requirements into solutions • Manage and guide team members, ensuring alignment with organizational goals, fostering a positive work environment, and supporting professional growth and development

Requirements

• Bachelor’s degree in Data Science, Computer Science, or Related Field plus at least 5 years of experience in data engineering with a strong focus on data architecture and ingestion • OR Master’s degree in Data Science, Computer Science, or Related Field plus at least 3 years of experience in data engineering with a strong focus on data architecture and ingestion • Snowflake Pro certification or equivalent years of experience supporting Snowflake in an enterprise setting • Proven experience with complex SQL coding and query optimization • Strong proficiency in Python development, specifically within the Snowflake environment • Demonstrated experience with custom package handling and development in Snowflake • Advanced knowledge of scalable data ingestion techniques • Technical ability to read, understand, and translate SAS code into SQL