Analytics Engineering Manager at Komodo Health

At Komodo Health, we are dedicated to reducing the global burden of disease by transforming how healthcare data is utilized. We have developed the Healthcare Map, which serves as the most comprehensive and precise view of the U.S. healthcare system. By merging de-identified patient data with advanced algorithms and decades of clinical expertise, we empower our partners to identify care gaps, track treatment patterns, and address unmet patient needs. We are a team of ambitious, supportive individuals who value growth, innovation, and a shared mission, and we are looking for an Analytics Engineering Manager to join us in this journey.

Key outcomes

• Develop and execute a strategic roadmap for our Enterprise Data Warehouse that directly supports our business priorities.
• Build and maintain scalable data models and pipelines that enable efficient self-service analytics across the organization.
• Strengthen our data governance by refining quality standards, access controls, and tagging frameworks.
• Mentor and coach early-career engineers to cultivate a high-performing, collaborative team culture.
• Enhance the performance and cost-efficiency of our data warehouse infrastructure through rigorous optimization.
• Lead the design and implementation of robust data pipelines while ensuring high system reliability and uptime.
• Bridge the gap between technical execution and business strategy by collaborating with cross-functional partners.

Requirements

• Strong background in data modeling, warehouse optimization, and ELT pipeline development.
• Proven experience in a management or leadership capacity, with a focus on mentoring and developing engineering talent.
• Strategic mindset capable of aligning technical architecture with long-term business objectives.
• Exceptional communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
• A commitment to operational excellence, including experience with data governance and quality assurance.
• Proficiency in problem-solving and the ability to navigate ambiguity in a fast-paced environment.
• Fluency in English.

Preferred qualifications

• Practical experience with Snowflake, Fivetran, dbt, Temporal, and Airflow.
• Familiarity with AWS Quicksight and RDS.
• Proficiency in Python or other high-level programming languages.
• Experience working with GitHub and Git version control.

Compensation

We provide a comprehensive total rewards package designed to support the well-being of our team members. This includes:

• Medical, dental, and vision insurance coverage.
• A 401k retirement plan.
• Company-paid life insurance and disability insurance.
• Generous paid time off for vacation, holidays, sickness, and bereavement.
• A hybrid work model that offers flexibility and choice.

How to apply

If you are passionate about using data to improve healthcare outcomes and are interested in leading our analytics engineering efforts, we invite you to submit your application. We look forward to reviewing your experience and discussing how you can contribute to our mission.