Data Engineering Manager

Summary

Join Cylinder, a health tech company, as their Data Engineering Manager to lead the strategy and execution of the data engineering organization. You will own the Data Warehouse, collaborating with Data Science and Software Engineering teams to improve the product and support operational data needs. This hands-on role requires expertise in GCP, DBT, Airflow, and Python, and involves building and mentoring a high-performing team. The position focuses on data engineering leadership, strategy, execution, infrastructure, governance, and team building. You will work closely with other engineering teams and stakeholders to ensure data systems align with the company's mission. This is an exciting opportunity to make an impact in the healthcare industry.

Requirements

• Proven experience (5+ years in Data or other Software Engineering with 2+ years in Data Engineering leadership roles), with a track record of successfully delivering complex software projects
• Strong, hands-on expertise in modern data engineering tools and frameworks (e.g., DBT, Airflow, Google Cloud Platform), with a focus on scalability and operational excellence
• Exceptional leadership and team-building skills, with the ability to motivate, mentor and inspire technical teams
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, business partners, and vendors alike
• Experience working in a HIPAA regulated environment (or other regulated industry) and supporting data security and privacy controls
• Strong problem-solving and decision-making abilities
• Demonstrated experience building and supporting Data Warehouse solutions
• Strong drive for automated testing

Responsibilities

• Help define and execute on a strategic vision for data engineering that aligns with business goals
• Collaborate with Product and other stakeholders to define and prioritize the technical roadmap, ensuring alignment with business objectives
• Drive the successful execution of data engineering projects across multiple teams, including planning, resource allocation, and project management
• Continue to mature data engineering best practices towards test-based development and automation
• Oversee the development and maintenance of scalable, reliable data pipelines and infrastructure
• Ensure efficient data ingestion, transformation, and storage solutions that support analytics and machine learning models
• Lead efforts to integrate various data systems and platforms to create a unified patient centered dataset
• Establish and enforce best practices for data quality, privacy, security, compliance (e.g., HIPAA) and ethical data usage
• Improve operational efficiency by ensuring a 'single source of truth' for all analytics data
• Build and grow a high-performing team of data engineers
• Foster a culture of innovation, continuous learning, and collaboration within the organization
• Provide mentorship and clear career growth paths for team members

Preferred Qualifications

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