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 / EMEA
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 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 Data Engineer on our team, you’ll build and scale the 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 product and engineering teams to make data more reliable, discoverable, and actionable, helping us use data not just for insights, but to directly improve how our users experience Zapier.
Our Commitment to Applicants
Culture and Values at Zapier
Zapier Guide to Remote Work
Zapier Code of Conduct
Diversity and Inclusivity at Zapier
Experienced 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.
Strong Engineering Foundation: You bring a solid background in software engineering and backend systems, designing APIs and data services that power product use cases. You apply engineering rigor to build robust, maintainable data 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.
Build 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 reliable, observable data systems with strong testing and validation. Champion best practices, golden paths, and CI/CD workflows that uphold data quality, security, and continuous improvement.
Performance Tuning, Maintenance and Optimization: Continuously monitor and optimize the performance of data workflows, identifying and resolving bottlenecks in data ingestion, transformation, and storage. You will participate in on-call rotation for data-owned services.
Develop Reusable Engineering Patterns: Design and implement scalable, reusable engineering patterns and frameworks that enable other engineers to self-serve data capabilities safely and efficiently. You’ll empower teams to integrate and utilize data within their systems with minimal dependency on the data engineering team.
Support Cross-Functional Projects: Work closely with Product, Analytics, and Machine Learning teams to support their data needs, helping them achieve their goals through reliable and insightful data.
Mentor and Share Knowledge: Act as a resource for junior team members, offering guidance and knowledge-sharing to elevate team expertise and contribute to a culture of learning.
At Zapier, we believe that diverse perspectives and experiences make us better, which is why we have a non-standard application process designed to promote inclusion and equity. We're looking for the best fit for each of our roles, regardless of the type of companies in your background, so we encourage you to apply even if your skills and experiences don’t exactly match the job description. All we ask is that you answer a few in-depth questions in our application that would typically be asked at the start of an interview process. This helps speed things up by letting us get to know you and your skillset a bit better right out of the gate. Please be sure to answer each question; the resume and CV fields are optional.
Education is not a requirement for our roles; however, if you receive an offer, you will need to include your most recent educational experience as part of our background check process.
After you apply, you are going to hear back from us—even if we don’t see an immediate fit with our team. In fact, throughout the process, we strive to never go more than seven days without letting you know the status of your application. We know we’ll make mistakes from time to time, so if you ever have questions about where you stand or about the process, just ask your recruiter!
Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities. Zapier does not discriminate based on someone's identity in any aspect of hiring or employment as required by law and in line with our commitment to Diversity, Inclusion, Belonging and Equity. Our code of conduct provides a beacon for the kind of company we strive to be, and we celebrate our differences because those differences are what allow us to make a product that serves a global user base. Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.
Zapier prioritizes the security of our customers' information and is dedicated to adhering to all applicable data privacy laws. You can review our privacy policy here.
Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations. If reasonable accommodations are needed to participate in the job application or interview process, please contact [email protected].
