Airtable needs to evolve its data engineering capabilities to support its shift to an AI-native platform, enabling customers to generate full apps and deploy AI agents. The data engineering team is crucial for delivering insights that improve user experience, measure agent impact, and understand business performance at scale.
Requirements
- 5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow.
- Proficient in at least one programming language (preferably Python), and are willing to become effective in others as needed to get your job done.
- Highly effective with SQL and understand how to write and tune complex queries.
Responsibilities
- Work between our engineering organization and stakeholders from our data science, growth, sales, marketing, and product teams, to understand the data needs of the business and produce pipelines, data marts, and other data solutions that enable better product and growth decision-making.
- Design and update our foundational business tables in order to simplify analysis across the entire company.
- Continue to improve the performance and reliability of our data warehouse.
- Build and enforce a pattern language across our data stack, ensuring that our data pipelines and tables are consistent, accurate, and well-understood.
Other
- You've wrangled enough data to understand how often the complex systems that produce data can go wrong.
- You're passionate and thoughtful about building systems that enhance human understanding.
- You communicate with clarity and precision in written form; experience communicating with graphs and plots.
