Senior Data Engineer (Founding Data Engineer) - Remote

Overview

The Senior Data Engineer will be the founding member of the data function at Geviti, responsible for architecting and building the core data infrastructure that supports various business operations, from clinical to member experience.

In Short

• Architect and maintain a scalable cloud-based data warehouse or lakehouse environment.
• Design and implement ETL/ELT pipelines integrating data from various sources.
• Develop clean, well-structured data models optimized for analytics.
• Ensure data quality and governance standards are upheld.
• Collaborate with cross-functional teams to build source-of-truth datasets.
• Support machine learning training and deployment through data pipelines.
• Establish monitoring and operational observability for data pipelines.
• Work autonomously to shape the future of data at Geviti.
• Communicate effectively with non-technical stakeholders.
• Contribute to a mission-driven healthcare technology environment.

Requirements

• 5+ years of experience in data engineering or similar roles.
• Expert SQL proficiency and strong Python experience.
• Experience with cloud-based data warehousing solutions.
• Knowledge of ETL/ELT frameworks and data quality methodologies.
• Experience with API integrations and data modeling for analytics.
• Strong communication skills and a self-starter mindset.
• Ability to translate business challenges into data solutions.
• Familiarity with healthcare data models is a plus.
• Experience with machine learning frameworks is beneficial.
• Strong documentation and systems-thinking skills.

Benefits

• Work on meaningful problems improving health and longevity.
• Join a mission-led, growth-oriented team.
• Competitive compensation with leadership opportunities.
• Build impactful products at the intersection of health, data, and AI.