Health Data Analytics Engineer

November 8

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Description

β€’ Designing, developing, and maintaining dbt data models that support our healthcare analytics products. β€’ Integrating and transforming customer data to conform our data specifications and pipelines β€’ Collaborating with cross-functional teams to understand data requirements and translate them into effective data models. β€’ Configuring and improving data pipelines that integrate and connect the data models. β€’ Conducting QA and testing on data models to ensure data accuracy, reliability, and performance. β€’ Applying industry standards and best practices around data modeling, testing, and data pipelining. β€’ Participating in a rota with other data engineers and backend engineers to help investigate and resolve data related issues.

Requirements

β€’ You have 3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data. β€’ You are very well-versed in SQL and ETL processes, significant experience in dbt is a must β€’ You have experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.) β€’ You have strong experience in data modeling and their implementation in production data pipelines. β€’ You are comfortable with the essentials of data orchestration

Benefits

β€’ Medical/dental/vision benefits β€’ 401k β€’ Free One Medical membership β€’ Parental leave β€’ Remote first β€’ Minimal bureaucracy β€’ Incredible teammates!

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