Data Engineer

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

About You

• 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.

Things You’ll Do

• 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.