Senior Data Engineer

About Cylinder
Founded in 2021 and offered as an employer benefit, Cylinder (formerly Vivante Health) delivers personalized, clinician-backed care to those suffering from digestive health issues through its virtual health platform. Cylinder’s tech-forward, human-first program connects members to the right level of support at the right time through an easy interface, bringing the healthcare ecosystem together to align around member needs. Cylinder’s dedicated care teams help members proactively address their gut health from every angle – decreasing costs, reducing absenteeism, and improving their quality of life, at scale.

Cylinder’s vision is to create a world where people receive convenient, personalized, and affordable access to the quality digestive healthcare they need to improve their overall health. Position Summary
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. Key Leadership 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

Responsibilities Include:
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

You'll be a good fit here if you bring:
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.

Desired Qualifications
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

Preferred Qualifications
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

Cylinder is an equal opportunity employer. We believe that creating safe spaces where everyone can be their authentic selves is key to a successful team. We welcome and embrace all identities, cultures, and backgrounds.