Data/AI Engineer

Proficiency in SQL and Python Experience building data pipelines Experience applying technical skills in fast-moving work environments Experience with scraping and cleaning data (plus) Early adopter of GenAI tools and exploration of LLMs Experience applying AI to large-scale data collection, analysis, recommendations, or consumer applications (bonus) Structured thinking and data-driven decision-making Bias for action and ability to ship work quickly Clear communication skills (written and verbal) Passion for sustainability

Build scalable data infrastructure Design and maintain pipelines for sourcing, cleaning, and processing datasets Conduct targeted analyses to answer business questions Develop agentic tools and leverage LLMs for data automation and assessment Collaborate with Engineering and Product teams Embrace experimentation and learning Define metrics to track progress and impact