Python
SQL
Databricks
Data Engineer
Overview
Zapier is hiring a Data Engineer to join their team and help shape the future of data infrastructure, working with a modern tech stack to build robust pipelines and enhance data reliability.
Job Description
Zapier is a 100% remote company that focuses on leveraging data to transform software products. The Data Engineer will work on creating and optimizing data systems to support Zapier’s growth, ensuring data is trustworthy, timely, and accessible.
Responsibilities
- - Build and optimize data pipelines using Databricks, Airflow, and cloud-native tools
- - Collaborate on data architecture with engineering and analytics teams
- - Manage data quality and integrity through automated testing and monitoring
- - Continuously monitor and optimize data workflows
- - Participate in on-call rotation for data-owned services
- - Design and develop reusable data platform tools
- - Support cross-functional projects with Product, Analytics, and Machine Learning teams
- - Mentor and share knowledge with junior team members
Required Skills
- - 4+ years of experience as a Data Engineer
- - Proficient in data pipeline development
- - Expertise in cloud ecosystems like AWS, GCP, or Azure
- - Skilled in Databricks and distributed processing platforms
- - Proficient in Python or another data-centric language
- - Strong SQL capabilities
- - Commitment to data quality and observability
- - Skilled written communicator
- - Enjoys collaboration and knowledge sharing
- - Embraces innovation and continuous improvement
Benefits
- - Offers Equity
- - Offers Bonus
- - Competitive and equitable compensation practices
- - Transparent pay practices
- - Remote work environment
About the company
Zapier puts the power of automation in your hands—no coding required. Take your workflows to the next level with our suite of automation tools.