Kforce Inc
This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$90.00/hr - $110.00/hr Responsibilities Kforce has a client that is seeking a Senior AWS Python Data Engineer in Houston, TX. Summary: We are supporting a Fortune 100 enterprise in the energy and infrastructure sector in building out a next-generation cloud-based data and AI platform. We are looking for a Senior Python Data Engineer to join a high-impact team focused on developing scalable, production-ready data and machine learning systems on AWS. This role is ideal for a senior engineer with deep Python expertise, strong cloud-native engineering skills, and a passion for turning data science models into business-critical solutions. Key Responsibilities: Collaborate with Data Scientists and Platform Engineers to build scalable ML and data systems Develop and maintain high-performance, distributed data pipelines and machine learning infrastructure Convert machine learning models into production-ready services and APIs Automate model training, validation, deployment, and inferencing pipelines Design fault-tolerant, secure, and cost-effective cloud-native architectures using AWS services Implement Infrastructure as Code (IaC) using CloudFormation, Terraform, or AWS CDK Build CI/CD pipelines for deployment and testing automation Establish software engineering best practices including modularity, reusability, test coverage, and documentation Requirements 5+ years of professional experience developing backend systems using Python Strong background in building and optimizing large-scale data pipelines and distributed systems Experience deploying machine learning models and managing ML workflows in production Solid understanding of software engineering principles including design patterns, version control, unit testing, and CI/CD Familiarity with object-oriented and functional programming practices Experience developing RESTful APIs and microservices Proven experience with cloud engineering on AWS, especially services like SageMaker, Glue, Lake Formation, and Athena Infrastructure as Code experience using CloudFormation, Terraform, or AWS CDK Experience with graph technologies and knowledge graphs (e.g., Neo4j, Amazon Neptune) is a plus Preferred Qualifications Prior experience working with machine learning operations (MLOps) or AI platform teams Knowledge of knowledge graph construction and semantic modeling Background in big data environments and real-time data processing frameworks Why This Role Work on high-visibility AI/ML projects powering critical business decisions Join a forward-thinking team focused on cloud-first, data-driven transformation Long-term project with potential for extension or full-time conversion Opportunity to influence architecture and platform strategy in a cloud-native environment Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees.
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$90.00/hr - $110.00/hr Responsibilities Kforce has a client that is seeking a Senior AWS Python Data Engineer in Houston, TX. Summary: We are supporting a Fortune 100 enterprise in the energy and infrastructure sector in building out a next-generation cloud-based data and AI platform. We are looking for a Senior Python Data Engineer to join a high-impact team focused on developing scalable, production-ready data and machine learning systems on AWS. This role is ideal for a senior engineer with deep Python expertise, strong cloud-native engineering skills, and a passion for turning data science models into business-critical solutions. Key Responsibilities: Collaborate with Data Scientists and Platform Engineers to build scalable ML and data systems Develop and maintain high-performance, distributed data pipelines and machine learning infrastructure Convert machine learning models into production-ready services and APIs Automate model training, validation, deployment, and inferencing pipelines Design fault-tolerant, secure, and cost-effective cloud-native architectures using AWS services Implement Infrastructure as Code (IaC) using CloudFormation, Terraform, or AWS CDK Build CI/CD pipelines for deployment and testing automation Establish software engineering best practices including modularity, reusability, test coverage, and documentation Requirements 5+ years of professional experience developing backend systems using Python Strong background in building and optimizing large-scale data pipelines and distributed systems Experience deploying machine learning models and managing ML workflows in production Solid understanding of software engineering principles including design patterns, version control, unit testing, and CI/CD Familiarity with object-oriented and functional programming practices Experience developing RESTful APIs and microservices Proven experience with cloud engineering on AWS, especially services like SageMaker, Glue, Lake Formation, and Athena Infrastructure as Code experience using CloudFormation, Terraform, or AWS CDK Experience with graph technologies and knowledge graphs (e.g., Neo4j, Amazon Neptune) is a plus Preferred Qualifications Prior experience working with machine learning operations (MLOps) or AI platform teams Knowledge of knowledge graph construction and semantic modeling Background in big data environments and real-time data processing frameworks Why This Role Work on high-visibility AI/ML projects powering critical business decisions Join a forward-thinking team focused on cloud-first, data-driven transformation Long-term project with potential for extension or full-time conversion Opportunity to influence architecture and platform strategy in a cloud-native environment Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees.
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