Data Engineer

• Create and deploy an ETL Ingestion Pipeline to import hundreds of millions of healthcare claims to Snowflake-based data warehouse
• Think through features from the customers perspective and deliver with the end-users in mind
• Work closely with Product, Engineering, Finance, and Operations teams to successfully deliver data and analytical projects
• Collaborate with stakeholders to develop an understanding of the data sources that power various parts of the business

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a data engineer
• Prolific knowledge of Snowflake, DBT, relational databases, Fivetran, and Python
• Core competency in the implementation of the software development lifecycle approaches to database work, Testing, CI/CD, and other automation activities
• Demonstrated experience building and maintaining high-throughput ETL pipelines, ideally for a fragmented, non-digital native industry like healthcare
• Nice to have some prior experience building Big data pipelines and warehouses to enable machine learning workflows
• Excellent communication and collaboration skills
• Great time-management and multitasking skills