Data Engineer

Data Engineer

We are seeking a highly skilled MLOps Engineer / Python Developer with strong experience in building and maintaining scalable data and machine learning pipelines. The ideal candidate will have hands-on expertise in Python, AWS, Kubernetes, and ML workflow tools (Kubeflow) along with solid experience in data processing frameworks like Spark and Pandas.

Required Skills & Qualifications

• Strong programming experience in Python
• Hands-on experience with AWS (or similar cloud platforms)
• Expertise in Kubernetes and Kubeflow (or similar orchestration/workflow tools)
• Experience with Spark, Pandas, NumPy for data processing
• Must have previous client experience working for this customer in the past 5 years

Preferred Skills & Qualifications

• Solid understanding of MLOps, ML lifecycle, and feature engineering
• Familiarity with CI/CD tools (Jenkins or similar)
• Experience in debugging, performance tuning, and vulnerability remediation

Day-to-Day Responsibilities

• Develop, maintain, and optimize data and model-serving pipelines using Kubeflow and Spark
• Implement feature engineering workflows for machine learning models
• Deploy, test, and monitor ML applications in cloud environments
• Collaborate with Data Scientists and cross-functional teams to productionize models
• Identify and fix bugs, vulnerabilities, and performance issues
• Handle feature requests and enhancements for existing systems
• Support and manage CI/CD pipelines and DevOps processes
• Ensure system scalability, reliability, and security compliance

Company Benefits & Culture

• Comprehensive health, dental, and vision insurance
• 401(k) with company match
• Opportunities for professional development and growth