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Data Engineer (Python, AWS) - Contract - 100% Onsite in Houston
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Python, AWS) on a contract basis, 100% onsite in Houston, offering competitive pay. Requires 5+ years in Python, expertise in AWS services, and experience with machine learning systems and data pipelines.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 2, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Scala #Python #Web Services #Data Engineering #AWS (Amazon Web Services) #Distributed Computing #Version Control #Documentation #Data Pipeline #Automated Testing #Data Science #Programming #HBase #AI (Artificial Intelligence) #API (Application Programming Interface) #Big Data #Cloud #Microservices #Security #ML (Machine Learning) #Athena #Infrastructure as Code (IaC) #Deployment #Unit Testing #Libraries #Terraform
Role description
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.
Top daily responsibilities:
• 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
Other responsibilities include:
• 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
The successful candidate will meet the following qualifications:
• 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
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.
Top daily responsibilities:
• 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
Other responsibilities include:
• 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
The successful candidate will meet the following qualifications:
• 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
