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Sr. Data Engineer

Carrot · Remote · Anywhere in the World · posted 1 day ago (2026-10-28)

Full-TimeRemoteExperience 5+ yrsData & AI

Skills: Full-Stack Programming

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Job description

Headquarters: Remote About Carrot: Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between. Carrot's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide. Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health. Learn more at get-carrot.com . The Opportunity Carrot is seeking a Sr. Data Engineer to lead the evolution, reliability, and scalability of our modern data infrastructure across analytics, reporting, and business intelligence. In this role, you will architect, build, and maintain robust, automated data pipelines, orchestrate workflows, integrate diverse data sources, and partner with stakeholders across the business to deliver secure, compliant, high-quality data solutions. Your work will span the full data lifecycle, from architecting resilient ETL/ELT pipelines and developing real-time and batch data integrations to automating reporting, reducing technical debt, and enabling advanced analytics. Sr. Data Engineers at Carrot are operational stewards and technical mentors, driving improvements in system maturity, cost efficiency, automation, and collaborative practices. You will join our Data Engineering

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