Data Engineer

AI at Zapier

At 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 Details

• Job Posted: October 20, 2025
• Updated: November 26, 2025
• Location: We’re hiring for two Data Engineering openings, each with different location requirements:
• Product Data Engineering: Americas only.
• Data Platforms: Americas or EMEA.

About the Role

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 teams

Product 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 Hiring

• 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

We are seeking an experienced Data Engineer with 4+ years of expertise in building and maintaining scalable, reliable data pipelines and infrastructure in cloud environments. You should apply best practices for performance and scalability across modern data platforms.

• Experienced Data Engineer: 4+ years building scalable, reliable data pipelines in cloud environments (AWS, GCP, or Azure), applying best practices.
• For Product Data Engineering: Strong software engineering foundation, designing APIs and data services for product use cases, applying engineering rigor.
• For the Data Platforms team: Experience with Governance, Privacy, and Security, implementing controls and policies.
• Databricks & Distributed Processing Expertise: Highly skilled in Databricks, Spark, or similar distributed processing for large datasets.
• Programming and Data Skills: Proficient in Python and/or Typescript, strong in SQL, writing clean, efficient, and maintainable code.
• Commitment to Quality and Observability: Deep care for data reliability, using testing, monitoring, and alerting for data quality and lineage.
• Collaborative and Forward-Looking: Clear communication, knowledge sharing, embracing innovation and AI, balancing pragmatism with action.

Things You’ll Do

• Build and Scale Data Services: Design, develop, and maintain scalable backend systems and APIs to enhance product experiences.
• Collaborate on Data Architecture and Models: Partner with engineering and analytics teams to optimize storage, processing, and database schemas; define data models.
• Contribute to Standards, Quality, and Governance: Build reliable, observable data systems, championing best practices, golden paths, and CI/CD.
• Performance Tuning, Maintenance and Optimization: Continuously monitor and optimize data workflows, resolve bottlenecks, and participate in on-call rotation.
• Develop Reusable Engineering Patterns: Design and implement scalable frameworks to empower other engineers for self-service data capabilities.
• Support Cross-Functional Projects: Work closely with Product, Analytics, and Machine Learning teams to meet their data needs.
• Mentor and Share Knowledge: Act as a resource for junior team members, offering guidance and fostering a learning culture.

How To Apply

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 jobs@zapier.com.

Application Deadline

The anticipated application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later, or if the position is filled.

Even though we’re an all-remote company, we still need to be thoughtful about where we have Zapiens working. Check out this resource for a list of countries where we currently cannot have Zapiens permanently working.

Key skills/competency

• Data Pipelines
• Cloud Platforms (AWS/GCP/Azure)
• Databricks & Spark
• Python/Typescript
• SQL
• Data Architecture
• Data Governance
• Data Reliability
• API Design
• Distributed Processing