Data Engineer

Company Overview:

We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.

Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.

We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.

We're hiring for multiple data engineers ranging from senior to staff level to join the team.

Key Responsibilities and Scope

• Work with the engineering team to design and implement scalable, automatable and robust data orchestration and lineage processes, incorporating high standards of data validation, transformation, and compliance.

• Optimize data storage and retrieval costs, making data operations more efficient and cost-effective.

• Work as a generalist engineer to help build other areas of the Protege platform.

About You

• You are curious, tenacious, and proactive.

• You are not bothered by ambiguity but embrace finding patterns in complex environments.

• Proven experience in data engineering, with a solid track record of building data systems and processes.

• Strong technical proficiency with data engineering tools, data warehouses and data lakes.

• Strong programming skills in Java or Python.

• Excellent problem-solving skills and adaptability in a dynamic and evolving tech landscape.

• Excited to work in a company that deals with moving and transforming large volumes of data.

Bonus if you have these attributes

• Experience with either Snowflake or Databricks

• Experience with AWS

• Prior startup experience

• Familiarity with fine-tuning AI models