Senior AWS Python Data Engineer for ML Pipelines

Cloud Hybrid Technologies, LLC; Houston (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

A technology firm in Houston is seeking an experienced backend developer to collaborate on building scalable ML and data systems. The role requires over 5 years of experience in Python and a strong background in optimizing large-scale data pipelines. Responsibilities include the development of machine learning infrastructure and implementing cloud-native architectures using AWS services. Candidates should possess solid software engineering principles and experience with Infrastructure as Code tools like CloudFormation or Terraform. This position offers an opportunity to work in a dynamic environment focused on cutting-edge technologies.

Qualifications

• 5+ years of professional experience developing backend systems using Python.
• Experience deploying machine learning models and managing ML workflows in production.
• Solid understanding of software engineering principles, including design patterns and version control.

Responsibilities

• Collaborate with Data Scientists and Platform Engineers to build scalable ML and data systems.
• Develop and maintain high-performance data pipelines and machine learning infrastructure.
• Implement Infrastructure as Code (IaC) using CloudFormation, Terraform, or AWS CDK.

Skills

Python

Cloud engineering on AWS

Machine learning operations (MLOps)

CI/CD

RESTful APIs

Tools

AWS CDK

CloudFormation

Terraform

Neo4j

Job description

A technology firm in Houston is seeking an experienced backend developer to collaborate on building scalable ML and data systems. The role requires over 5 years of experience in Python and a strong background in optimizing large-scale data pipelines. Responsibilities include the development of machine learning infrastructure and implementing cloud-native architectures using AWS services. Candidates should possess solid software engineering principles and experience with Infrastructure as Code tools like CloudFormation or Terraform. This position offers an opportunity to work in a dynamic environment focused on cutting-edge technologies.