Zapier is looking to leverage data to transform its software products, specifically by building and scaling data systems that power key product features like personalization, AI systems, usage analytics, and billing. The goal is to make data more reliable, discoverable, and actionable to directly improve user experience.
Requirements
- 4+ years of experience building and maintaining scalable, reliable data pipelines and infrastructure in cloud environments (AWS, GCP, or Azure).
- Highly skilled in Databricks, Spark, or similar distributed processing platforms and use them to process large datasets efficiently and cost-effectively.
- Proficient in Python and/or Typescript, and strong in SQL.
- Apply best practices for performance and scalability across modern data platforms.
- Solid background in software engineering and backend systems, designing APIs and data services that power product use cases.
- Apply engineering rigor to build robust, maintainable data systems.
- Follow best practices to write clean, efficient, and maintainable code throughout the full software development lifecycle.
Responsibilities
- 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.
Other
- 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.
- 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.
- Zapier is an equal-opportunity employer and we're excited to work with talented and empathetic people of all identities.
- Zapier will consider all qualified applicants, including those with criminal histories, consistent with applicable laws.
- Zapier is committed to inclusion. As part of this commitment, Zapier welcomes applications from individuals with disabilities and will work to provide reasonable accommodations.
