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Software Engineer, Data

No-code app platform empowering people to accelerate critical business processes, serving 500,000+ organizations including 80% of Fortune 100.
$179,500 - $277,600
Data
Senior Software Engineer
In-Person
1,000 - 5,000 Employees
5+ years of experience
Enterprise SaaS · AI

Job Description

Airtable, a leading no-code app platform serving over 500,000 organizations including 80% of Fortune 100 companies, is transforming how work gets done through their innovative platform. As they evolve into an AI-native platform, they're seeking a Data Engineer to play a crucial role in their data engineering initiatives.

This position offers an opportunity to make significant contributions to Airtable's data infrastructure, working at the intersection of engineering and business intelligence. The role involves designing mission-critical data pipelines, collaborating with cross-functional teams, and creating scalable solutions that drive decision-making across the organization.

The ideal candidate will bring 5+ years of experience in data pipeline design and maintenance, with strong Python and SQL skills. You'll be responsible for improving the company's data warehouse performance, establishing data patterns, and building solutions that enhance business understanding through data.

Working from their San Francisco office, you'll join a team that's passionate about democratizing software creation and enabling AI-powered workflows. The position offers competitive compensation ($179,500 - $277,600), equity through RSUs, and comprehensive benefits, making it an excellent opportunity for experienced data engineers looking to make an impact at a rapidly growing technology company.

This role is perfect for someone who combines technical expertise with business acumen, enjoys solving complex data challenges, and wants to be part of transforming how organizations work with data and AI.

Last updated 3 days ago

Responsibilities For Software Engineer, Data

  • Design and own mission-critical data pipelines to enable decision-making
  • Partner with company leaders to create scalable data solutions
  • Launch innovative alerting and visualization solutions
  • Design and update foundational business tables
  • Improve performance and reliability of data warehouse
  • Build and enforce pattern language across data stack

Requirements For Software Engineer, Data

Python
  • 5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow
  • Experience with complex data systems
  • Proficiency in at least one programming language (preferably Python)
  • Strong SQL skills and ability to write and tune complex queries
  • Passion for building systems that enhance human understanding
  • Clear written communication skills and experience with graphs and plots

Benefits For Software Engineer, Data

Equity
  • Restricted stock units (RSUs)
  • Comprehensive benefits package
  • Incentive compensation

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