Data Engineer • Mid-Level

Who you are

You have a strong background in data engineering with experience in building and operating large-scale data infrastructure — you've designed and implemented data lakes and metadata systems, ensuring they are reliable and efficient. Your expertise includes working with high-throughput streaming platforms, and you are familiar with tools like Kafka and Flink, which you have used to manage real-time data flows effectively.

You possess a solid understanding of orchestration tools such as Airflow, enabling you to automate complex data workflows. Your programming skills in Python allow you to develop robust data pipelines and integrate various data sources seamlessly. You are also knowledgeable about data governance and security practices, ensuring that data access is secure and compliant with regulations.

What you'll do

In this role, you will be responsible for designing, building, and operating the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, ensuring they are optimized for high performance and reliability. Your work will involve enabling secure and governed data access for machine learning and analytics, which is crucial for supporting OpenAI's innovative projects.

You will take full lifecycle ownership of the data infrastructure, from architecture and implementation to production monitoring and incident response. Collaborating closely with cross-functional teams, you will help redefine how people interact with data, contributing to intelligent interfaces and AI-assisted workflows that enhance data accessibility and usability.

What we offer

At OpenAI, you will be part of a mission-driven team that is shaping the future of technology through artificial intelligence. We provide a collaborative and inclusive work environment where your contributions will have a significant impact. You will have opportunities for professional growth and development, working alongside some of the brightest minds in the industry. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.