Python Data Engineer

Opportunity Details

Full Time Python Data Engineer

Phyton Data Engineer

JOB-10045121

Anticipated Start Date

10/13/2025

Location

Houston, TX

Type of Employment

Contract-to-Hire

Employer Info

Our client is an American natural gas and crude oil pipeline company with headquarters in Houston, Texas.

Job Summary

We are currently seeking an experienced Python Data Engineer to join the Big Data and Advanced Analytics department. The Senior Python Data Engineer will contribute to the development of a scalable, high-performance data and AI platform using Amazon Web Services (AWS). The ideal candidate will combine strong software engineering principles with deep expertise in cloud platform engineering to build robust data and AI platform that drive business insights and decision-making.

Job Description

• Work directly with Data Scientists to develop high quality, reliable, scalable, machine learning systems
• Design and implement frameworks and tools to streamline the machine learning process
• Automate manual ML pipelines including model training, registration, promotion, and inferencing
• Leverage software architecture and design patterns to develop fault tolerant software components
• Convert research-based machine learning models into production-ready software
• Implement processes to ensure coding standards, code quality, documentation, and test coverage
• Design and implement cloud-native architectures following AWS best practices for security, scalability, and cost optimization
• Implement Infrastructure as Code (IaC) using tools like CloudFormation, Terraform, or CDK
• Establish CI/CD pipelines for platform deployments and automated testing
• Development of reusable Python libraries for Data and AI projects
• Development of AWS Infrastructure as Code (IaC) templates
• Development of Data and AI project templates

Skills Required

• 5+ years of programming experience in Python building large, distributed, mission critical systems
• Expertise in developing and maintaining data pipelines
• Experience in testing, packaging, and deploying machine learning models
• Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
• Expertise in Object-Oriented Design Principals and Functional Programming Principals
• Experience in implementing distributed computing systems
• Experience in designing modular, reusable software components
• Experience in developing API endpoints and microservices
• Knowledgeable of MLOps Principles
• Knowledgeable of Knowledgeable of AWS data and AI services including Sage Maker, Lake Formation, Glue, and Athena

Education/Training/Certifications

• Highschool diploma or GED.

"We are an equal opportunity employer and do not discriminate in hiring or employment on the basis of race, color, religion, national origin, citizenship, gender, marital status, sexual orientation, age, disability, veteran status, or any other characteristic protected by federal, state, or local law."