Manager, Data Engineering

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March 20

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BioIntelliSense, Inc

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Biotechnology • Healthcare Insurance • SaaS

BioIntelliSense, Inc. is a medical technology company focused on providing continuous patient monitoring solutions via wearable devices. The company's flagship product, the BioButton, is a medical-grade wearable device designed for continuous remote monitoring of vital signs and health status. BioIntelliSense's solutions are intended for use in both hospital and home settings, supporting virtual care programs with clinical-grade accuracy. The company emphasizes data analytics and early detection of adverse health trends, aiming to enhance patient care, workflow efficiency, and cost-effectiveness in healthcare settings. Their technology has been recognized with various awards and partnerships globally to expand its patient monitoring capabilities.

51 - 200 employees

🧬 Biotechnology

⚕️ Healthcare Insurance

☁️ SaaS

💰 $45M Series B on 2021-07

📋 Description

• Lead the data engineering team to build top-tier data assets and analytics tools • Drive continuous improvement in data engineering practices and processes • Fully own our data platform, from logging to consumption by end users as well as all the internal and external tools in between • Oversee the design, development, and maintenance of data pipelines and data warehousing solutions • Drive team prioritization, focusing on reducing time to insight • Create the right team processes, structure, and systems to build and maintain high-quality code • Establish and enforce data governance and compliance policies and procedures • Promote data quality, integrity, and security across the organization

🎯 Requirements

• 5+ years of experience as a technical contributor in data infrastructure and data / analytics-related roles • BA/BS in Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field. MS Preferred • A strong foundation in data modeling, transforming business requirements into effective schemas • Strong experience with big data technologies such as Spark (Databricks), and Kafka (Confluent). • Strong proficiency in SQL and ETL processes. • Strong understanding of cloud-based data solutions (e.g., AWS, GCP, Azure). • Proficiency with industry-standard reporting tools such as Qlik, QuickSight, or similar. • An ability to communicate effectively with technical team members, analysts, and executives • An interest and ability to dive into the details of problems to resolve communication, ownership, data modeling, and other challenges • A strong bias for action and execution • Experience with data/privacy laws in healthcare (e.g. HIPAA)

🏖️ Benefits

• Medical • Dental • Vision • Life • Disability (STD & LTD) • 401(k) auto contribution program • 11 paid holidays per year • Generous paid time off • Weekly lunch perk