Data Infrastructure Engineer - Remote

Overview

Meshy is a leading 3D generative AI company focused on transforming the content creation pipeline by making it easier for users to create unique 3D assets.

In Short

• Design and operate distributed data systems for AI model training.
• Implement scalable ETL/ELT workflows for data transformation.
• Architect pipelines across various cloud storage solutions.
• Optimize processing with distributed frameworks like Spark.
• Collaborate with ML researchers for dataset preparation.
• Manage infrastructure using tools like Terraform and Kubernetes.
• Maintain data governance and lineage.
• Adapt to evolving data needs in a fast-paced startup environment.
• Contribute to a culture of collaboration and fast iteration.
• Embrace versatility in tackling data infrastructure challenges.

Requirements

• 5+ years of experience in data engineering or distributed systems.
• Strong programming skills in Python; knowledge of Scala/Java/C++ is a plus.
• Solid SQL skills for data analytics and transformations.
• Proficiency with distributed frameworks like Spark.
• Familiarity with cloud platforms (AWS/GCP/Azure) and storage systems.
• Experience with workflow orchestration tools (Airflow, Prefect).
• Experience handling large-scale unstructured datasets.
• Comfortable in a startup environment and adaptable to change.
• Strong problem-solving skills.
• Commitment to building robust and maintainable systems.

Benefits

• Competitive salary, equity, and benefits package.
• Opportunity to work with a talented team at the forefront of AI.
• Flexible work environment with remote options.
• Opportunities for professional growth and development.
• An inclusive culture valuing creativity and collaboration.
• Unlimited, flexible time off.