Data Engineer

Aquaticode, a company under Nacre Capital, is pioneering artificial intelligence solutions for aquaculture, combining biology and AI through specialized imaging technology to analyze aquatic species. They're seeking a Data Engineer to join their innovative team, focusing on supporting Machine Learning research through robust data pipeline development.

The role demands expertise in data processing technologies and understanding ML research needs. The ideal candidate will build and maintain data pipelines, implement scalable architectures, and work closely with ML researchers. They'll handle large datasets, work with MongoDB and other databases, and ensure data quality and availability for ML experiments.

Nacre Capital, the parent company, has an impressive track record in the deep tech startup space, having built successful ventures like Face.com (acquired by Facebook), Fairtility, FDNA, and Seed-X. This position offers an opportunity to work at the cutting edge of AI and biology, contributing to solutions that benefit humanity.

The role requires strong technical skills in Python, SQL, and data processing tools like Apache Airflow. Experience with cloud platforms and database management is essential. Additional skills in backend frameworks, containerization, and DevOps practices are valuable assets. This remote position offers the flexibility to work from various locations while being part of a team dedicated to revolutionary aquaculture technology.