VC5 Consulting
Data Engineer W. Python and Machine Learning Experience, Sr.
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with Python and Machine Learning experience, offering a temporary contract with a competitive pay rate. Required skills include AWS expertise, scalable data pipeline design, and 5+ years in Python programming.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 1, 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
#Distributed Computing #Python #Security #Scala #Libraries #Cloud #Unit Testing #Big Data #AWS (Amazon Web Services) #Microservices #Data Engineering #ML (Machine Learning) #Programming #Data Pipeline #API (Application Programming Interface) #Version Control #AI (Artificial Intelligence) #Infrastructure as Code (IaC) #HBase #Web Services
Role description
Join a leading Big Data and Advanced Analytics organization for a high-impact, temporary engagement focused on building the next generation of data and AI infrastructure. This is an exciting opportunity for a Senior Python Data Engineer to utilize deep software engineering principles and cloud platform expertise to develop a robust, scalable, and high-performance data platform on Amazon Web Services (AWS) that drives critical business decision-making.
Key Responsibilities
• Develop and implement highly reusable Python libraries and standardized project templates for Data and AI initiatives.
• Design and deploy cloud-native architectures using Infrastructure as Code (IaC), adhering to AWS best practices for security and optimization.
• Automate complex Machine Learning (ML) pipelines and convert research-based models into production-ready software components.
Required Qualifications
• 5+ years of programming experience in Python building large-scale, distributed, mission-critical systems.
• Expertise in designing, implementing, and maintaining scalable and reliable data pipelines.
• Extensive experience with software engineering practices, including Object-Oriented Design (OOD), Unit Testing, CI/CD, and version control.
• Experience in implementing distributed computing systems and developing API endpoints/microservices.
• Proven ability to test, package, and deploy machine learning models in a production environment.
Apply your advanced expertise in scalable Python development, cloud-native architecture, and AI platform engineering to drive the future of data-driven insights.
#11153
Join a leading Big Data and Advanced Analytics organization for a high-impact, temporary engagement focused on building the next generation of data and AI infrastructure. This is an exciting opportunity for a Senior Python Data Engineer to utilize deep software engineering principles and cloud platform expertise to develop a robust, scalable, and high-performance data platform on Amazon Web Services (AWS) that drives critical business decision-making.
Key Responsibilities
• Develop and implement highly reusable Python libraries and standardized project templates for Data and AI initiatives.
• Design and deploy cloud-native architectures using Infrastructure as Code (IaC), adhering to AWS best practices for security and optimization.
• Automate complex Machine Learning (ML) pipelines and convert research-based models into production-ready software components.
Required Qualifications
• 5+ years of programming experience in Python building large-scale, distributed, mission-critical systems.
• Expertise in designing, implementing, and maintaining scalable and reliable data pipelines.
• Extensive experience with software engineering practices, including Object-Oriented Design (OOD), Unit Testing, CI/CD, and version control.
• Experience in implementing distributed computing systems and developing API endpoints/microservices.
• Proven ability to test, package, and deploy machine learning models in a production environment.
Apply your advanced expertise in scalable Python development, cloud-native architecture, and AI platform engineering to drive the future of data-driven insights.
#11153
