Senior Analytics Engineer

Summary

Join Komodo Health's EDW and Analytics Engineering team and play a key role in advancing the strategy and execution of the company's Enterprise Data Warehouse (EDW) and analytics engineering initiatives. You will build and maintain the data warehouse infrastructure, ensuring data reliability and quality. This role involves designing, building, and maintaining scalable ELT pipelines, developing data models, and collaborating with cross-functional teams. You will contribute to data governance practices and optimize the EDW for performance and cost efficiency. In your first year, you will deliver robust data models, improve workflow reliability, contribute to data quality standards, and collaborate on translating business needs into actionable insights. Komodo Health offers a hybrid work model and a competitive benefits package.

Requirements

• Proficiency with data modeling, ELT design, and analytics engineering best practices
• Hands-on experience with Snowflake, dbt, and Fivetran in a production environment
• Working knowledge of Python and SQL, with the ability to write clean, well-documented code
• Familiarity with version control and collaborative development tools like Git and GitHub
• Understanding of data governance principles including access management and quality assurance
• Curiosity and the ability to break down ambiguous problems into structured, solvable components
• Strong collaboration and communication skills with both technical and non-technical peers
• Commitment to writing maintainable, scalable, and cost-efficient code and pipelines

Responsibilities

• Design, build, and maintain scalable ELT pipelines using dbt, Fivetran, and cloud-native tools
• Develop clean, reusable data models and transform raw data into accessible, trusted datasets
• Participate in code reviews, testing, and performance tuning to ensure reliability and maintainability
• Implement and contribute to governance practices, including tagging frameworks, data quality checks, and access control standards
• Troubleshoot data pipeline and warehouse issues across development and production environments
• Document workflows, data definitions, and architecture to ensure clarity and knowledge sharing
• Stay up to date on modern data engineering practices and bring forward recommendations to improve the platform

Preferred Qualifications

• Experience with Snowflake, Fivetran, dbt, Temporal, Airflow
• Experience with AWS Quicksight, RDS
• Experience with Python, other high level languages
• Experience with Github, Git

Benefits

• Comprehensive health, dental, and vision insurance
• Flexible time off and holidays
• 401(k) with company match
• Disability insurance and life insurance
• Leaves of absence in accordance with applicable state and local laws and regulations and company policy
• Performance-based bonuses
• Equity awards
• Medical, dental and vision coverage
• 401k Retirement Plan
• Prepaid legal assistance
• Paid time off for vacation, sickness, holiday, and bereavement
• 100% company-paid life insurance and long-term disability insurance