Senior Data Engineer

Cylinder is a company focused on delivering personalized, clinician-backed care for digestive health issues through its virtual health platform. They are seeking a highly experienced Senior Data Engineer to lead data infrastructure initiatives, mentor the engineering team, and architect scalable data solutions to improve patient outcomes.

Responsibilities:

• Architect and design scalable, fault-tolerant data pipelines for complex healthcare data ingestion, transformation, and reporting
• Lead technical decision-making for data infrastructure and tooling selection
• Mentor junior engineers and establish engineering best practices across the team
• Drive cross-functional collaboration with Data Science, Business Intelligence, and Product teams
• Champion data quality initiatives and establish robust monitoring and alerting systems
• Design and implement solutions for complex distributed system challenges
• Evaluate and implement emerging technologies to maintain our competitive edge
• Design and implement enterprise-grade data architectures with emphasis on scalability, reliability, and maintainability
• Lead code reviews and establish coding standards that promote excellence across the engineering organization
• Drive strategic partnerships with product stakeholders, translating complex business requirements into elegant technical solutions
• Own end-to-end delivery of critical data infrastructure projects
• Establish comprehensive testing strategies, documentation standards, and operational procedures
• Continuously evaluate and optimize system performance, cost efficiency, and reliability
• Serve as subject matter expert for healthcare data compliance and security requirements

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience
• 5+ years of demonstrated experience architecting and building production data pipelines and MLOps environments
• Expert-level proficiency in SQL and Python with demonstrated experience in performance optimization
• Deep expertise with modern data stack technologies including dbt, Airflow, BigQuery, and cloud-native solutions
• Extensive experience with major cloud platforms (AWS, GCP, or Azure) including infrastructure-as-code practices
• Proven track record working with healthcare, medical, or population health data
• Outstanding communication and leadership skills with experience mentoring engineering teams
• Experience establishing data governance and compliance frameworks in regulated industries
• Technical Leadership: You have a proven track record of architecting complex data systems and leading technical initiatives in fast-paced environments
• Healthcare Impact: You're passionate about leveraging data to improve patient outcomes and understand the unique challenges of healthcare data
• Security Excellence: You have deep expertise in healthcare data security, HIPAA compliance, and implementing robust data governance frameworks
• Collaboration & Mentorship: You excel at leading cross-functional teams and developing junior talent
• Innovation Mindset: You stay current with emerging technologies and can evaluate their strategic fit for our organization
• Advanced degree in Computer Science, Data Engineering, or related field
• Extensive experience with Google Cloud Platform, including BigQuery, Vertex AI, IAM, Pub/Sub, Dataflow, and Cloud Composer
• Expert-level experience with Terraform and infrastructure automation
• Experience with real-time streaming data architectures
• Track record of successfully scaling data systems in high-growth startup environments
• Published thought leadership or contributions to open-source data engineering projects