Senior Data Engineer

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 and coding standards
• 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 enterprise-grade data architectures with an emphasis on scalability and reliability
• Serve as a subject matter expert for healthcare data compliance and security requirements

Requirements

• 5+ years of experience architecting and building production data pipelines
• Expert-level proficiency in SQL and Python with experience in performance optimization
• Deep expertise with modern data stack technologies including dbt, Airflow, and BigQuery
• Extensive experience with major cloud platforms (AWS, GCP, or Azure)
• Knowledge of HIPAA compliance and healthcare data security frameworks
• Proven track record of leading technical initiatives in fast-paced environments

Preferred Qualifications

• Advanced degree in Computer Science, Data Engineering, or a related field
• Extensive experience with Google Cloud Platform (Vertex AI, IAM, Pub/Sub, Dataflow, Cloud Composer)
• Expert-level experience with Terraform and infrastructure automation
• Experience with real-time streaming data architectures
• Experience scaling data systems in high-growth startup environments

About the Company

Cylinder delivers personalized, clinician-backed care to those suffering from digestive health issues through its virtual health platform. Our tech-forward, human-first program connects members to the right level of support at the right time, helping them proactively address gut health to improve their quality of life.