Data Engineering Manager

Cylinder Health

Completely RemoteFull TimeEngineering & Architecture
Posted 1 months ago

This role is no longer accepting applications.

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Job description

Responsibilities

  • Lead the data engineering strategy and execution, aligning technical roadmaps with business goals
  • Manage and mentor a high-performing team of data engineers, fostering a culture of continuous learning
  • Oversee the development and maintenance of scalable, reliable data pipelines and infrastructure
  • Own the Data Warehouse and ensure efficient data ingestion, transformation, and storage
  • Establish and enforce best practices for data quality, privacy, security, and HIPAA compliance
  • Drive the transition toward mature data engineering practices, including test-based development and automation

Requirements

  • 5+ years of experience in Data or Software Engineering
  • 2+ years of experience in a Data Engineering leadership role
  • Hands-on expertise with DBT, Airflow, and Google Cloud Platform (GCP)
  • Proven experience building and supporting Data Warehouse solutions
  • Experience working within HIPAA-regulated environments or other highly regulated industries
  • Strong skills in automated testing and software engineering best practices

Preferred Qualifications

  • Familiarity with healthcare data standards such as FHIR or OHDSI
  • Experience working in a fast-paced startup environment
  • Advanced degree in Data Science, Computer Science, or a related field

Benefits

  • Competitive compensation: $195K – $215K
  • Equity offerings
  • Fully remote work environment

About the Company

Cylinder Health delivers personalized, clinician-backed care for digestive issues through a virtual health platform. We connect members to the right support at the right time, helping them proactively address gut health to improve their quality of life.

Skills & tools

GCPDBTAirflowPython

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years in Data or Software Engineering
  2. 022+ years in Data Engineering leadership
  3. 03Expertise in DBT, Airflow, and GCP
  4. 04Experience with Data Warehouse solutions
  5. 05Experience in HIPAA regulated environments
  6. 06Strong automated testing skills
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