Jobs via Dice
Overview
Senior AWS Python Data Engineer role at Jobs via Dice. Location: Houston, TX. Fortune 100 enterprise in the energy and infrastructure sector; building out a next-generation cloud-based data and AI platform. 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 Compensation & Benefits
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. This range may be modified in the future. Employee pay is based on factors like education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce\'s sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Staffing note: 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. By clicking Apply Today you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates. Message frequency may vary; message and data rates may apply. You may opt out at any time. Applications
Senior data engineering role for candidates with strong Python and AWS cloud experience. No other content required.
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Senior AWS Python Data Engineer role at Jobs via Dice. Location: Houston, TX. Fortune 100 enterprise in the energy and infrastructure sector; building out a next-generation cloud-based data and AI platform. 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 Compensation & Benefits
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. This range may be modified in the future. Employee pay is based on factors like education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce\'s sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Staffing note: 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. By clicking Apply Today you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates. Message frequency may vary; message and data rates may apply. You may opt out at any time. Applications
Senior data engineering role for candidates with strong Python and AWS cloud experience. No other content required.
#J-18808-Ljbffr