Senior Data Engineer

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.

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.

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.

• →

  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

• 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

• 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.