Data Warehouse Engineer

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: September 26, 2025

Location: Americas (North, Central and South America), EMEA (Europe, the Middle East and Africa)

Hi there!

Zapier is hiring a Data Warehouse Engineer to join our Revenue & Finance Data team. In this role, you will be the steward of Zapier’s foundational revenue datasets that support the company's financial health and future growth. You’ll focus on building reusable internal data products to power self-serve analytics, enabling teams across Zapier to gain actionable insights faster.

You’ll help set the technical direction for our analytics ecosystem, designing and evolving core datasets used company-wide and ensuring our data platform scales to support everything from daily operations to advanced AI initiatives.

If you’re interested in advancing your career at a fast-growing, profitable, impact-driven company, then read on…

• Our Commitment to Applicants

• Culture and Values at Zapier

• Zapier Guide to Remote Work

• Zapier Code of Conduct

• Diversity and Inclusivity at Zapier

• You are experienced in Data Warehouse Engineering. You bring 4+ years of experience as a Data Warehouse Engineer, Data Engineer, Analytics Engineer, or in a similar role. You excel at self-organizing and managing projects end-to-end, from requirements gathering and solution design to implementation and delivery.

• You have a deep understanding of data modeling concepts. You understand the nuances of when traditional data modeling approaches are effective and when they aren’t. You’ve designed data models and ETL pipelines with a focus on ease of use for end consumers, high performance, and scalability.

• You strive to align with business goals. You design data models that empower insightful analysis and reporting, always keeping the end goal in mind. You understand the key metrics and their implications, and you work closely with Data Science colleagues and cross-functional stakeholders to ensure your efforts align with broader objectives.

• You influence technical standards. You’re familiar with modern data platforms and best practices for scalability and performance. You contribute to shaping your team’s technical direction, including decisions on architecture, tooling, and strategies for technical improvements.

• You are proactive and strategic. You proactively develop forward-thinking plans that prioritize stakeholder value and contribute to shaping the team’s technical direction. You stay curious about emerging technologies and stakeholder challenges, striving to connect the two in your work.

• You demonstrate AI fluency in your work. You use AI to speed up tasks like scaffolding SQL, brainstorming data models, and drafting documentation, while carefully validating outputs for accuracy and maintainability. You see AI as a collaborative tool that enhances both productivity and solution quality.

• Build trusted data products by designing scalable and high-quality pipelines using Airflow, dbt, Databricks, and modeling business-critical metrics like ARR, churn, and NRR, ensuring stakeholders can self-serve confidently.

• ​Shape technical direction by guiding architectural decisions, tooling choices, and strategies to optimize data storage and the analytics landscape.

• ​Enable self-service analytics by partnering with stakeholders across Zapier to understand their analytical needs and creating data products that connect raw data to actionable insights.

• ​Prioritize impact by focusing on high-value projects, transparently pushing back on low-leverage requests, and clearly balancing stakeholder needs with technical feasibility.

• ​Identify opportunities proactively by presenting data-driven solutions before they’re requested and sharing your insights in strategic discussions across Finance, Product, and Revenue.

• ​Elevate the team by mentoring peers, sharing best practices, documenting your work, and making our data ecosystem clearer and more maintainable than before.

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].

Compensation Range: $141.1K - $211.7K