Senior Data Engineer

Cylinder Health

36d

About The Position

We’re seeking a highly experienced Senior Data Engineer to lead our data infrastructure initiatives and mentor our growing engineering team. As a Senior Data Engineer, you will architect and optimize enterprise-scale data solutions while driving technical strategy across the organization. You'll play a pivotal role in establishing data engineering best practices and building systems that can scale with our rapidly growing member base. Why is this a great opportunity for a data engineer? You'll be joining at a pivotal moment where your technical leadership will directly shape our data strategy. The problem domain offers unique challenges - integrating previously disconnected healthcare data sources, building sophisticated GI patient models, and discovering insights that tangibly improve patient outcomes. As a senior contributor, you'll have significant autonomy in technical decisions and the opportunity to build a world-class data engineering function from the ground up.

Requirements

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.
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

Nice To Haves

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

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