Data Engineer
Surge
Software Engineering, Data Science
Posted on Jun 23, 2025
Data Engineer
About Us
Surge powers AI leaders like OpenAI, Anthropic, Meta, and Google with high-quality human feedback data for model training and evaluation. Founded by former ML engineers, we focus on data quality with a US-based workforce, custom annotation tools, and rigorous quality control. Our platform has been a “game-changer” for ML teams, enabling us to run profitably from day one without VC funding.
Join a fast-growing team of former engineering leaders from Google, Meta, Twitter, and Airbnb. Our stack includes Python, Ruby on Rails, and React, supporting AI training data workflows with modern processing and storage solutions.
The Role
As a Data Engineer, you'll design and maintain the infrastructure that powers our AI data workflows and business analytics. You'll work closely with ML engineers, product teams, and operations to improve data processing, ensure integrity, and optimize efficiency. Our data systems are streamlined and focused rather than large-scale distributed systems, giving you direct ownership and visibility into the complete pipeline. This environment allows you to make meaningful improvements with immediate impact and gain valuable end-to-end experience across our entire data infrastructure. Our stack includes Snowflake, connectors like Fivetran, Airflow, Postgres, AWS, Python, and Ruby on Rails.
What We’re Looking for
Data-Centric Mindset: Experience designing and maintaining structured and unstructured data pipelines.
Efficiency & Reliability: Ability to optimize and improve data workflows without the need for massive infrastructure.
Ownership & Impact: Excited to take initiative and drive improvements in a small, fast-moving team.
Interest in AI & ML: While AI experience isn’t required, you’re eager to work with data that fuels next-gen AI models.
What You’ll Do
Develop and maintain ETL pipelines for AI training data and business analytics
Optimize data storage solutions for performance and cost.
Ensure data integrity, validation, and reliability across workflows.
Build internal tools for data exploration, annotation, and monitoring.
Implement security and best practices for handling sensitive data.
Why Join Us?
Work on impactful AI data challenges without massive infra overhead.
Own and shape our data infrastructure and workflows.
Have immediate impact in a fast-moving, profitable AI startup.
How to Apply
If you're passionate about AI, applying data to solve complicated problems, and working with a high-performance team, we'd love to hear from you. To apply, please email careers@surgehq.ai with a resume and 2-3 sentences describing your interest in Surge. We love personal projects and writings too!