Job Title: Backend Developer (Python, Data Pipeline)
Location: Sunnyvale, CA (Hybrid)
Duration: 12 Months
 
Description:

• You’ll be working in a team of data engineers to design and develop solutions to data collection and management problems of volume, variety and velocity.
• You will design, build and deploy solutions for data pipelines and processing with a focus on robust scalability, monitoring and observability.
• Your goal is to raise the quality and productivity of the data collection and management team by. building services and solutions that allow everyone to work faster.  

Job Responsibilities:

• Develop and maintain software services required for efficient and scalable data collection processes
• Design solutions and features that balance multiple data consumers’ needs
• Participate in design reviews with peers and stakeholders to ensure the correct solution is picked
• Review code with peers to provide and get feedback on implemented solution
• Coordinate and work closely with team members and other engineering teams

Key Qualifications:

• 5+ years of hands-on software development experience
• Experience designing technical solutions for complex systems
• Must have strong proficiency in Python and Object-Oriented Programming skills
• High level of expertise developing applications using in Django and Django Rest Framework
• Experience designing scalable data systems and implementing ETL pipelines for high throughput applications
• Built and deployed large scale applications leveraging AWS Cloud Services
• Understanding of CI/CD and DevOps methodologies for managing infrastructure and code deployment
• Experience with relational and NoSQL databases
• Bonus for UI/UX development experience
• Excellent communication and collaboration skills
• Excellent problem solving and analytical thinking skills

 

 


At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $70.00/hr.