Data Infrastructure Engineer - Remote

Overview

We are seeking a Data Infrastructure Engineer to join our growing team. In this role, you will design, build, and operate distributed data systems that power large-scale ingestion, processing, and transformation of datasets used for AI model training.

In Short

• Design and maintain distributed ingestion pipelines for structured and unstructured data.
• Build scalable ETL/ELT workflows for AI/ML model training.
• Support preprocessing of unstructured assets for training pipelines.
• Architect pipelines across cloud storage and optimize processing with distributed frameworks.
• Use infrastructure-as-code to manage environments.
• Maintain data lineage and governance for AI/ML datasets.
• Collaborate with ML researchers and engineers.
• Adapt pipelines to evolving pretraining and evaluation needs.
• Embrace versatility in problem-solving.
• Contribute to a culture of fast iteration and collaborative ownership.

Requirements

• 5+ years of experience in data engineering or distributed systems.
• Strong programming skills in Python; Scala/Java/C++ is a plus.
• Solid SQL skills for analytics and transformations.
• Proficiency with distributed frameworks like Spark or Dask.
• Familiarity with cloud platforms (AWS/GCP/Azure).
• Experience with workflow orchestration tools.

Benefits

• Competitive salary, equity, and benefits package.
• Opportunity to work with a talented team at the forefront of AI and 3D technology.
• Flexible work environment, with options for remote and on-site work.
• Fast professional growth and development opportunities.
• An inclusive culture that values creativity and collaboration.
• Unlimited, flexible time off.