Data Engineer

AI at ZapierAt Zapier, we build and use automation every day to make work more efficient, creative, and human. So if you’re using AI tools while applying here - that’s great! We just ask that you use them responsibly and transparently.Check out our guidance on How to Collaborate with AI During Zapier’s Hiring Process, including how to use AI tools like ChatGPT, Claude, Gemini, or others during our hiring process - and when not to.Job Posted: October 20, 2025Updated: November 26, 2025Location: We’re hiring for two Data Engineering openings, each with different location requirements:Product Data Engineering: Americas only. Data Platforms: Americas or EMEA. Hi there!Are you passionate about leveraging data to transform software products? We’re hiring two Data Engineers to join Zapier’s Data organization: one on Product Data Engineering and one on Data Platforms team. In these roles, you’ll help shape the future of how data powers Zapier’s products and platform, working with a modern stack to build robust APIs, services, and foundations that other teams build on.Two roles, two teamsProduct Data Engineering focuses on building and scaling the data systems that power key parts of Zapier’s product — from personalization and information retrieval for AI systems to usage analytics and billing. The team partners closely with product and engineering teams to make data more reliable, discoverable, and actionable, helping improve how users experience Zapier.Data Platforms builds and maintains the foundational data infrastructure that enables reliable, secure, and scalable data operations across Zapier. The team focuses on governance, privacy, and security — ensuring data integrity, compliance, and trust across the company.Our philosophy for hiringOur Commitment to ApplicantsCulture and Values at ZapierZapier Guide to Remote WorkZapier Code of ConductDiversity and Inclusivity at ZapierAbout YouExperienced Data Engineer: You have 4+ years of experience building and maintaining scalable, reliable data pipelines and infrastructure in cloud environments (AWS, GCP, or Azure). You apply best practices for performance and scalability across modern data platforms.For Product Data Engineering: We’re looking for a strong software engineering foundation — designing APIs and data services that power product use cases, applying engineering rigor to build robust, maintainable systems.For the Data Platforms team: We’re looking for experience with Governance, Privacy, and Security — implementing controls, policies, and infrastructure that uphold compliance and protect data integrity across systems.Databricks & Distributed Processing Expertise: You’re highly skilled in Databricks, Spark, or similar distributed processing platforms and use them to process large datasets efficiently and cost-effectively.Programming and Data Skills: You’re proficient in Python and/or Typescript, and strong in SQL. You follow best practices to write clean, efficient, and maintainable code throughout the full software development lifecycle.Commitment to Quality and Observability: You care deeply about data reliability and observability. You use testing, monitoring, and alerting to ensure data quality, accuracy, and lineage across pipelines.Collaborative and Forward-Looking: You communicate clearly in writing, enjoy sharing knowledge with teammates, and embrace innovation and AI to improve how we build software. You balance pragmatism with action, shipping solutions that simply work and iterating as needed.Things You’ll DoBuild and Scale Data Services: Design, develop, and maintain scalable backend systems and APIs that directly change the product experiences for our users.Collaborate on Data Architecture and Models: Partner with engineering and analytics teams to optimize storage, processing workflows, and database schemas. Define data models and contracts to ensure consistency, accessibility, and scalability across systems.Contribute to Standards, Quality, and Governance: Build ... (truncated, view full listing at source)