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Software/Data Engineer
Posted: 02/12/2026
Job Number: 1241
Job Description
Role Summary
Seeking an experienced Data Engineer or Machine Learning Engineer with strong Python development expertise and hands-on experience building and maintaining data and ML pipelines. This role supports the development, automation, and optimization of scalable data infrastructure and production machine learning systems within a secure environment.
The ideal candidate has at least 2 years of professional experience in Python development, AI/ML systems, and data engineering, along with experience working in Linux-based environments.
Required Qualifications
Key Responsibilities Python Software Development
Data Pipeline & Automation Development
Linux & Containerization
Data Infrastructure & Architecture
Documentation & Compliance
Preferred Skills
Seeking an experienced Data Engineer or Machine Learning Engineer with strong Python development expertise and hands-on experience building and maintaining data and ML pipelines. This role supports the development, automation, and optimization of scalable data infrastructure and production machine learning systems within a secure environment.
The ideal candidate has at least 2 years of professional experience in Python development, AI/ML systems, and data engineering, along with experience working in Linux-based environments.
Required Qualifications
Key Responsibilities Python Software Development
Data Pipeline & Automation Development
Linux & Containerization
Data Infrastructure & Architecture
Documentation & Compliance
Preferred Skills
Seeking an experienced Data Engineer or Machine Learning Engineer with strong Python development expertise and hands-on experience building and maintaining data and ML pipelines. This role supports the development, automation, and optimization of scalable data infrastructure and production machine learning systems within a secure environment.
The ideal candidate has at least 2 years of professional experience in Python development, AI/ML systems, and data engineering, along with experience working in Linux-based environments.
Required Qualifications
-
Minimum 2 years of strong Python development experience
-
Experience with AI/ML systems and data pipelines
-
Experience working with Apache technologies
-
Experience developing and consuming REST APIs
-
Bachelor’s degree in Computer Science, Engineering, or related field
-
Active Top Secret clearance with the ability to obtain SCI with polygraph
-
Proven work experience or formal training as a Data Engineer, Machine Learning Engineer, or similar role
Key Responsibilities Python Software Development
-
Develop, maintain, and enhance software applications using Python
-
Use Python to read, create, and modify relational and graph databases
-
Develop REST API services to interface with databases
-
Utilize Git for version control and source code management
-
Apply Agile methodologies and participate in the full Software Development Life Cycle (SDLC)
-
Follow industry standards and best practices for software development
Data Pipeline & Automation Development
-
Maintain and enhance existing automation software systems
-
Design and implement ETL pipelines using Apache Airflow
-
Develop task automation pipelines using Apache Airflow
-
Build production-grade machine learning pipelines from prototype models using Python and Airflow
-
Collaborate with data scientists and algorithm developers to implement ML-enabled applications
Linux & Containerization
-
Use Linux as the primary development environment
-
Containerize applications using Docker
-
Support deployment and optimization of containerized services
Data Infrastructure & Architecture
-
Design and maintain data infrastructure across SQL and NoSQL environments
-
Develop and manage data models across various data modalities
-
Utilize ORMs and best practices in database design
Documentation & Compliance
-
Maintain and extend technical documentation following best practices
-
Create technical documentation, flow charts, and system specifications
-
Ensure documentation supports operational, reporting, and security requirements
Preferred Skills
-
Experience working in secure or classified environments
-
Experience deploying ML models to production
-
Familiarity with scalable data architectures and automation frameworks
Seeking an experienced Data Engineer or Machine Learning Engineer with strong Python development expertise and hands-on experience building and maintaining data and ML pipelines. This role supports the development, automation, and optimization of scalable data infrastructure and production machine learning systems within a secure environment.
The ideal candidate has at least 2 years of professional experience in Python development, AI/ML systems, and data engineering, along with experience working in Linux-based environments.
Required Qualifications
-
Minimum 2 years of strong Python development experience
-
Experience with AI/ML systems and data pipelines
-
Experience working with Apache technologies
-
Experience developing and consuming REST APIs
-
Bachelor’s degree in Computer Science, Engineering, or related field
-
Active Top Secret clearance with the ability to obtain SCI with polygraph
-
Proven work experience or formal training as a Data Engineer, Machine Learning Engineer, or similar role
Key Responsibilities Python Software Development
-
Develop, maintain, and enhance software applications using Python
-
Use Python to read, create, and modify relational and graph databases
-
Develop REST API services to interface with databases
-
Utilize Git for version control and source code management
-
Apply Agile methodologies and participate in the full Software Development Life Cycle (SDLC)
-
Follow industry standards and best practices for software development
Data Pipeline & Automation Development
-
Maintain and enhance existing automation software systems
-
Design and implement ETL pipelines using Apache Airflow
-
Develop task automation pipelines using Apache Airflow
-
Build production-grade machine learning pipelines from prototype models using Python and Airflow
-
Collaborate with data scientists and algorithm developers to implement ML-enabled applications
Linux & Containerization
-
Use Linux as the primary development environment
-
Containerize applications using Docker
-
Support deployment and optimization of containerized services
Data Infrastructure & Architecture
-
Design and maintain data infrastructure across SQL and NoSQL environments
-
Develop and manage data models across various data modalities
-
Utilize ORMs and best practices in database design
Documentation & Compliance
-
Maintain and extend technical documentation following best practices
-
Create technical documentation, flow charts, and system specifications
-
Ensure documentation supports operational, reporting, and security requirements
Preferred Skills
-
Experience working in secure or classified environments
-
Experience deploying ML models to production
-
Familiarity with scalable data architectures and automation frameworks
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