You are highly effective with SQL and understand how to write and tune complex queries.You can write clear, correct code in at least one programming language, and are willing to become effective in others as needed to get your job done.You've wrangled enough data to understand how often the complex systems that produce data can go wrong.You have 2-4 years of professional experience designing, creating and maintaining scalable data pipelines.You're passionate and thoughtful about building systems that enhance human understanding.Build and enforce a pattern language across our data stack, ensuring that our event taxonomy and tables are consistent, accurate, and well-understood.Continue to improve the performance and reliability of our data-warehouse.Design and update our foundational business tables in order to simplify analysis across the entire company.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.Learn more about our Engineering team and values here. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions and launch innovative alerting and visualization solutions. Data engineering can play a critical role in understanding how people use the open-ended toolkit that Airtable offers, thereby enabling our team to improve users' experience and accelerate their rate of success.Īs one of the early data engineers at Airtable, you'll make an enormous contribution to our burgeoning data engineering efforts. Our accelerating present and future growth, coupled with our ambitious product surface area, brings many challenges. Airtable's unique approach to enabling end-user software creation has struck a chord with users across many industries and use cases.
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