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Python Kubernetes Software Engineer Data Jobs in Concord, CA

Software Engineer, Data

San Francisco, CA · On-site

$134K - $162K/yr

They are seeking a Software Engineer, Data to design and maintain critical data pipelines that ... Python) and are willing to pick up others as the work demands. • Highly effective with SQL and ...

Software Engineer, Data

San Francisco, CA · On-site

$196K - $278K/yr

As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data ... You are proficient in at least one programming language (preferably Python) and are willing to pick ...

Software Engineer, Data

San Francisco, CA · On-site

$196K - $278K/yr

As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data ... You are proficient in at least one programming language (preferably Python) and are willing to pick ...

Software Engineer Department: Data Platform Location Hayes Valley, San Francisco, CA Basic Job ... Python Proficiency * Advanced proficiency coding in python Preferred Qualifications * Bachelor's or ...

Software Engineer Department: Data Platform Location Hayes Valley, San Francisco, CA Basic Job ... Python Proficiency * Advanced proficiency coding in python Preferred Qualifications * Bachelor's or ...

Software Engineer, Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

This role supports Core Engineering needs within the organization and builds on top of existing ... Advanced software development skills in Python, Rust, Java, Scala, or similar data-oriented ...

Showing results 21-40

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Software Engineer, Data

Airtable

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Re-posted 24 days ago


Job description

Job Summary:
Airtable is a no-code app platform that empowers organizations to transform their business processes. They are seeking a Software Engineer, Data to design and maintain critical data pipelines that enable decision-making and support various business operations through innovative data solutions.
Responsibilities:
• Work across our engineering organization and stakeholders from data science, growth, sales, marketing, and product to understand the data needs of the business and produce pipelines, data marts, and other solutions that enable better decision-making.
• Design and maintain our foundational business tables in order to simplify analysis and reporting across the entire company, including AI usage metrics surfaced to executive stakeholders.
• Use AI tools as a daily part of how you work, from LLM-assisted pipeline development and debugging to exploring our catalog through AI-powered discovery, and bring a curiosity for where this tooling is heading next.
• Build and enforce a pattern language across our data stack, ensuring pipelines and tables are consistent, accurate, and well-understood.
• Continue to improve the performance and reliability of our data warehouse.
• Partner with data scientists, analytics engineers, and business stakeholders to translate ambiguous business questions into well-scoped data solutions.
Qualifications:
Required:
• 3-8+ 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 pick up others as the work demands.
• Highly effective with SQL and understand how to write and tune complex queries.
• Genuinely curious about how AI is reshaping data engineering and actively experimenting.
• Passionate and thoughtful about building systems that enhance human understanding.
• Communicate with clarity and precision in written form and have experience conveying findings through graphs and visualizations.
Preferred:
• Experience with AI tools and LLM-assisted pipeline development.
• Experience working with data science, growth, sales, marketing, and product stakeholders.
Company:
Airtable is a cloud-based work management platform that combines databases, workflows, automations, and AI tools in a shared workspace. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.