About the job
About Cylinder Health
Established in 2021, Cylinder Health offers a revolutionary virtual health platform designed to provide personalized, clinician-supported care for individuals facing digestive health challenges. Our innovative, tech-driven approach seamlessly connects members with the appropriate level of support through a user-friendly interface, uniting the healthcare ecosystem to address member needs effectively. Our dedicated care teams assist members in proactively managing their gut health, significantly reducing healthcare costs, minimizing absenteeism, and enhancing overall quality of life on a large scale. At Cylinder, our vision is to ensure accessible, customized, and affordable digestive healthcare for everyone, leading to improved overall health.
Position Overview
We are looking for an accomplished Senior Data Engineer to spearhead our data infrastructure initiatives and provide mentorship to our emerging engineering team. In this pivotal role, you will design and optimize large-scale data solutions, guiding the technical strategy across the organization. You will be instrumental in establishing data engineering best practices and developing systems that can scale alongside our expanding member base.
Why Join Us as a Senior Data Engineer?
This is an exciting time to join Cylinder Health, where your technical expertise will significantly influence our data strategy. You will encounter unique challenges, such as integrating previously siloed healthcare data sources, constructing advanced GI patient models, and uncovering insights that directly enhance patient outcomes. As a key contributor, you will have considerable autonomy in your technical decisions and the chance to create a premier data engineering function from the ground up.
Key Responsibilities:
Design and architect scalable, fault-tolerant data pipelines for intricate healthcare data ingestion, transformation, and reporting.
Lead the technical decision-making process regarding data infrastructure and tool selection.
Mentor junior engineers while establishing best engineering practices within the team.
Promote cross-functional collaboration with Data Science, Business Intelligence, and Product teams.
Advocate for data quality initiatives and implement robust monitoring and alerting systems.
Develop and execute solutions for complex challenges within distributed systems.

