Data Engineer

Company Confidential We're building the data infrastructure that makes AI agents trustworthy instead of error-prone. We Company Confidential continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows. We've tripled Company Confidential while maintaining 100% gross dollar retention and staying cashflow Company Confidential. We Company Confidential AI agents for Company Confidential, Company Confidential, Company Confidential, and the Company Confidential of AI GTM tools. Why We're Hiring This Role Our data platform is scaling rapidly, and we need engineer who can own pipelines end-to-end, Company Confidential data Company Confidential high, and ensure reliability as we grow. This role exists to strengthen our data infrastructure, accelerate delivery through automation, and ensure our B2B customers receive accurate, Company Confidential data they can trust. You'll work on data systems that directly Company Confidential customer workflows - where pipeline reliability and data Company Confidential directly Company Confidential retention. Company Confidential Build and maintain production-Company Confidential data pipelines using DBT, Company Confidential, and modern orchestration tools. Own data engineering features end-to-end, from implementation through optimization and deployment. Fix and improve existing pipelines - identify bottlenecks, Company Confidential issues, and enhance Company Confidential. Company Confidential automation initiatives across the data stack to accelerate delivery and reduce Company Confidential interventions. Company Confidential 2nd line support for B2B customers - investigate data issues, clarify edge cases, and ensure customers can trust their data. Design and implement new data import pipelines as we expand our data Company Confidential coverage. Implement data Company Confidential improvements - validation, monitoring, and testing to ensure reliable, accurate data delivery. Contribute to Company Confidential reviews, architectural discussions, and data engineering best practices. Who You Are You have 3+ years of Company Confidential data engineering experience. Strong fundamentals in SQL, data modeling, Python and ETL/ELT principles. Must have DBT - hands-on experience building and maintaining transformation pipelines Company Confidential to have Company Confidential Company Confidential AWS (S3, Company Confidential, Glue, etc.) Company Confidential or similar orchestration tools (Airflow, Dagster) Solid understanding of data Company Confidential principles, testing strategies, and monitoring practices. Comfortable working in a fast-moving, remote-first environment. Strong communicator - Company Confidential to explain technical issues Company Confidential to both technical and non-technical stakeholders. Async-first Company Confidential - can work independently, document Company Confidential, and Company Confidential stakeholders informed without constant synchronous communication. End-to-end ownership mentality - you see tasks through from planning to production, handling blockers and follow-through. You care about data Company Confidential, pipeline reliability, and long-term maintainability. Why Company Confidential Product with Company Confidential traction Customers rely on our platform in production. High ownership Small team where your work directly shapes the product. Engineering-driven culture Company Confidential and correctness matter. Company Confidential stage company Company Confidential product-market fit and Company Confidential. Company Confidential over Company Confidential Less bureaucracy, more building. Company Confidential Offer Competitive compensation Company Confidential on experience. Meaningful ownership and long-term Company Confidential opportunities. Flexible working hours. Fully remote-friendly team. Company Confidential collaboration with founders and Company Confidential engineering leadership. Originally posted on Himalayas Apply To This Job

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