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, now operating in the healthcare and media industries. 

Solving AI's data problem is a generational opportunity. The company that succeeds will be one of the largest in AI — and in tech.

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