Data Engineer - Remote

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May 21

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Diabetes Youth Families

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Healthcare Insurance • Hardware

Diabetes Youth Families is a company that provides wearable insulin delivery solutions for diabetes management. Their primary products, such as the Omnipod 5 and Omnipod DASH systems, offer tubeless and automated insulin delivery for people with Type 1 and Type 2 diabetes, allowing users to manage their condition without the need for multiple daily injections. The systems integrate with continuous glucose monitoring (CGM) devices and can be controlled via compatible smartphones, enhancing the freedom and lifestyle of individuals living with diabetes. With a focus on reducing the burden of diabetes management, they offer financial assistance, support resources, and trial programs to help users adapt to their innovative solutions. The company emphasizes making life simpler while managing diabetes through technology-driven insulin management systems.

11 - 50 employees

Founded 1938

⚕️ Healthcare Insurance

🔧 Hardware

📋 Description

• Design, implementation and maintenance of Insulet’s data lake, warehouse and overall architecture • Work with IT, analytics and cross functional teams to identify data sources, determine data collection and design aggregation mechanisms • Perform data quality checks and data clean up • Interface with business stakeholders in cross-functional teams, including manufacturing, quality assurance, and post-market surveillance in order to understand various applications and their data sets • Develop data preprocessing tools as needed • Maintenance and understanding of the various business intelligence tools used to visualize and report team analytics results to the company

🎯 Requirements

• Bachelors degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field is preferred • 2-3 year’s experience working with data technologies • Experience in data quality assurance, control and lineage for large datasets in relational/non-relational databases • Experience managing robust ETL/ELT pipelines for big real-world datasets that could include messy data, unpredictable schema changes and/or incorrect data types • Experience with both batch data processing and streaming data • Experience in implementing and maintaining Business Intelligence tools linked to an external data warehouse or relational/non-relational databases is required • Experience in medical device, healthcare, or manufacturing industries is desirable • HIPAA experience • Master's Degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field