$57.25 - $78.75/hr
Contractor
Re-posted 22 days ago
Job description
Location: Seattle, WA
Duration: 6 months
GBaMS ReqID:10383680
US CITIZENS AND GC HOLDERS ONLY
100% ON-SITE
10+ years Exp
2 opening for this position
Must-Have Technical/Functional Skills
Strong experience in Python for data engineering and application development.
Proficiency in frontend and backend frameworks:
Backend: Python, Django
Frontend: Angular, React
Ability to design and implement RESTful APIs and integrate with UI components.
Solid understanding of data pipeline design, ETL processes, and optimization.
Knowledge of Postgres and MongoDB (preferred).
Familiarity with scalable architecture and performance tuning.
Roles & Responsibilities
Data Pipeline Development
Design, develop, and implement data pipelines using Python.
Web Application Development
Build and maintain web applications using Python/Django and Angular/React.
API Development
Design and implement RESTful APIs; integrate with frontend components.
Code Quality & Optimization
Write clean, efficient, maintainable code following best practices.
Optimize applications for speed and scalability.
Testing & Debugging
Participate in code reviews, testing, and debugging to ensure software quality.
Troubleshoot and resolve issues across development, testing, and production.
Collaboration
Work closely with data scientists, analysts, and stakeholders to deliver data solutions aligned with business goals.
Documentation
Create and maintain documentation for data infrastructure, pipelines, and ETL processes.
Experience Required
Minimum 3 years in Python development and data engineering.
Generic Managerial Skills
Ability to work in a dynamic environment and solve complex problems.
Strong problem-solving skills and ability to handle ambiguity.
Duration: 6 months
GBaMS ReqID:10383680
US CITIZENS AND GC HOLDERS ONLY
100% ON-SITE
10+ years Exp
2 opening for this position
Must-Have Technical/Functional Skills
Strong experience in Python for data engineering and application development.
Proficiency in frontend and backend frameworks:
Backend: Python, Django
Frontend: Angular, React
Ability to design and implement RESTful APIs and integrate with UI components.
Solid understanding of data pipeline design, ETL processes, and optimization.
Knowledge of Postgres and MongoDB (preferred).
Familiarity with scalable architecture and performance tuning.
Roles & Responsibilities
Data Pipeline Development
Design, develop, and implement data pipelines using Python.
Web Application Development
Build and maintain web applications using Python/Django and Angular/React.
API Development
Design and implement RESTful APIs; integrate with frontend components.
Code Quality & Optimization
Write clean, efficient, maintainable code following best practices.
Optimize applications for speed and scalability.
Testing & Debugging
Participate in code reviews, testing, and debugging to ensure software quality.
Troubleshoot and resolve issues across development, testing, and production.
Collaboration
Work closely with data scientists, analysts, and stakeholders to deliver data solutions aligned with business goals.
Documentation
Create and maintain documentation for data infrastructure, pipelines, and ETL processes.
Experience Required
Minimum 3 years in Python development and data engineering.
Generic Managerial Skills
Ability to work in a dynamic environment and solve complex problems.
Strong problem-solving skills and ability to handle ambiguity.
Frequently asked questions
Q: What skills or qualities help someone succeed as a Python Developer?
A: To succeed as a Python Developer, key technical skills include proficiency in Python programming language, experience with popular libraries and frameworks such as NumPy, pandas, and Flask or Django, as well as knowledge of data structures, algorithms, and object-oriented programming. Additionally, strong problem-solving skills, attention to detail, and the ability to learn and adapt quickly are essential soft skills, along with effective communication and collaboration skills to work with cross-functional teams. By combining these technical and soft skills, a Python Developer can efficiently design, develop, and deploy scalable and maintainable software solutions, driving career growth and effectiveness in the role.
Q: What is the career path for a Python Developer?
A: A Python Developer's typical career progression involves starting as a Junior Python Developer, where they focus on writing clean, efficient code and learning industry-standard frameworks and libraries. As they gain experience, they can move into mid-level roles such as Python Engineer or Senior Python Developer, where they take on leadership responsibilities, mentor junior team members, and contribute to the design and architecture of complex systems. Ultimately, senior Python Developers can transition into technical lead or architect positions, or explore adjacent roles like Data Scientist, DevOps Engineer, or Technical Product Manager, leveraging their expertise in Python and software development to drive business growth and innovation.
