AI Data Engineer, Python & Kubernetes
Overview
You will own production data pipelines for AI workloads at CLPS Global in New York, driving data architecture and deployment on cloud platforms. You join a hybrid team of data engineers and analysts, shipping scalable pipelines with Python and Kubernetes. This role demands 9+ years of experience and visa independence, offering direct ownership of mission-critical data infrastructure.
What You'll Do7
- 1Build production-grade data pipelines with Python and Kubernetes within the first 90 days.
- 2Design data architectures that support analytics and AI applications on AWS or GCP.
- 3Lead deployment of pipelines using Kubernetes for container orchestration.
- 4Debug and optimize data workflows for performance and reliability.
- 5Collaborate with data scientists to integrate models into production systems.
- 6Drive data quality and governance across the data lifecycle.
- 7Scale data infrastructure to handle growing data volumes and user demands.
Requirements7
- 19+ years of experience in data engineering or data application development.
- 2Strong proficiency in Python application development.
- 3Hands-on experience with cloud platforms and Kubernetes-based deployment.
- 4Proven track record of building production-grade data pipelines.
- 5Solid understanding of data architecture and data modeling.
- 6Experience with data analytics and BI tools.
- 7Visa independent (no sponsorship required).
Salary Insight
$110 - $120k per year
Location
Required Skills
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