Sr. Data Engineer
ZapierAbout the role
About Zapier
We're humans who simply think computers should do more work.
At Zapier, we’re not just making software—we’re building a platform to help millions of businesses globally scale with automation and AI. Our mission is to make automation work for everyone by delivering products that delight our customers. You’ll collaborate with brilliant people, use the latest tools, and leverage the flexibility of remote work. Your work will directly fuel our customers’ success, and as they grow, so will you.
Job Posted: October 20, 2025
Location: AMERICAS
Hi there!
Are you passionate about leveraging data to transform software products? We’re excited to invite you to join the Zapier Data team as a Senior Data Engineer! In this role, you’ll help shape the future of how data is used in Zapier products, working with our modern tech stack to build robust APIs and enhance data access across our Build organization, by building as well as enabling others.
As a Senior Data Engineer, you’ll architect and implement scalable data systems that power key parts of Zapier’s product — from personalization and information retrieval for AI systems to usage analytics and billing. You’ll work closely with other engineers, product managers, and data teams to make high-quality data accessible and actionable across Zapier.
About You
Experienced Data Engineer: You have 6+ years of experience designing, building and maintaining data systems and distributed systems in the cloud. You’ve led technical direction or architecture for complex data systems and can balance scale, performance, and cost.
Strong Engineering Foundation: You bring deep expertise in software engineering — designing APIs, data services, and distributed systems using robust testing, CI/CD, and observability practices.
Expert in Databricks & Distributed Processing: You’re highly proficient in Databricks, Spark, or similar platforms, using them to efficiently process large-scale data and optimize for performance and cost.
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.
Drive Observability and Operational Excellence: Define SLAs, build observability into pipelines and services, and establish standards for alerting, documentation, and on-call reliability for data systems.
Collaborative and Forward-Looking: You communicate clearly in writing, mentor others and set strong technical and data standards that raise the bar across teams. You partner with engineering, analytics, ML, and AI teams, embracing innovation and AI to improve how we build software. You balance pragmatism with impact, shipping solutions that simply work and evolving them over time.
Things You’ll Do
Architect and Scale Data Systems: Lead the design and evolution of scalable, secure, and reliable data infrastructure and APIs that power user-facing product use cases.
Define Data Architecture and Standards: Drive collaboration 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.
Drive Standards, Quality, an
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