Data Engineer, Human Cohorts

Who We Are: Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs. Position Description: Calico is seeking a Data Engineer to join our highly collaborative Engineering team and focus on developing high-performance research data infrastructure for large human cohorts. To succeed, you will need to be an enthusiastic team player, detail-oriented, extremely organized, and comfortable working on complex data, software, and scientific problems. In this position, you will be the engineering lead for data infrastructure to support our human biology teams. You will drive projects from requirements-gathering to production deployment, engineering high-performance data systems that integrate with our internal data systems and our internally-developed AI platform. Position Responsibilities: End-to-End Project Ownership: Collaborate with data scientists and bench scientists to gather requirements, architect solutions, and deploy production-grade software that facilitates data movement, transformation, analysis, and visualization Data Flow Architecture: Define and optimize data flows across the organization Full-Stack Tool Development: Develop data systems and internal web applications (using React and Python) that allow stakeholders to review, visualize, and communicate complex scientific data Mentorship & Leadership: Serve as a strong technical voice within a larger Engineering team; provide mentorship to junior engineers across Ca