.Insulet started in 2000 with an idea and a mission to enable our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod product platform.In the last two decades we have improved the lives of hundreds of thousands of patients by using innovative technology that is wearable, waterproof, and lifestyle accommodating.We are looking for highly motivated, performance driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations.Our continued success depends on it!Position Overview : Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump. The Data Engineer role is responsible for data lake infrastructure, development of automated data uploads and scripting for data cleaning and analytics.Reporting to the Director Data Engineering, you will develop tools and processes to transform data for use by Insulet's Analytics team, senior technical leaders and executives.We are a fast-growing company that provides an energetic work environment and tremendous career growth opportunities.Responsibilities :Develop new and novel data architectures and pipelines and lead technical discussions to align stakeholders on the technical approach.Design, develop, execute and document data validation strategies ensuring reliable data sources to drive enterprise decision making.Develop and execute manual and automated test cases of data pipelines, ETL processes, and data transformations.Work with cross-functional stakeholders to ensure quality and prompt delivery of data products.Design, implementation and maintenance of Insulet's data lake, warehouse and overall architecture.Create and maintain documentation of test plans, test cases and testing results.Collaborate with data engineering and data teams to implement data quality best practices and optimize data workflows.Design, monitor and maintain QA reports, KPIs & quality trends for the internal data engineering systems.Interface with business stakeholders in cross-functional teams, including manufacturing, quality assurance, commercial, and post-market surveillance to understand various applications and their data sets.Develop data validations tools as needed.Document data quality issues, testing procedures, and resolutions for future reference and knowledge sharing.Education and Experience :Bachelor's degree in Mathematics, Computer Science, Electrical or Computer Engineering, or a closely related STEM field is required with 3-5 years of experience.Master's degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field is a plus.Experience working with data technologies such as Data Lake, Data Lakehouse, Data Warehouse.Experience in data quality assurance, control and lineage for large datasets in relational / non-relational databases