Overview
On Site
$90 - $110 hourly
Contract - W2
Contract - Temp
Skills
Energy
Data Science
Collaboration
Training
Automated Testing
Documentation
Python
Management
Workflow
Software Engineering
Design Patterns
Version Control
Unit Testing
Continuous Integration
Continuous Delivery
Object-Oriented Programming
Functional Programming
RESTful
Microservices
Amazon SageMaker
Terraform
Amazon Web Services
Neo4j
Amazon Neptune
Machine Learning Operations (ML Ops)
Semantics
Modeling
Big Data
Real-time
Data Processing
Machine Learning (ML)
Cloud Computing
Artificial Intelligence
Messaging
Job Details
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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. 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.
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, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. 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.
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, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.