Quantum World Technologies Inc.

Python Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer in Mountain View, CA, on a contract basis. Key skills include Python, GCP, Apache Airflow, and Git. A degree in a related field is required. Experience with data engineering and production-grade SDKs is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
October 23, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Mountain View, CA
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🧠 - Skills detailed
#Deployment #Version Control #Data Quality #Storage #GIT #Mathematics #AI (Artificial Intelligence) #Libraries #Monitoring #Code Reviews #Airflow #GitHub #Computer Science #Batch #Data Engineering #ML (Machine Learning) #Cloud #Data Processing #Python #Apache Airflow #Dataflow #Scala #Logging #Data Science #Automation #GCP (Google Cloud Platform)
Role description
Hi, This is Manoj Kumar and I represent Quantum World Technologies Inc., a leading IT staffing organization. I am part of a team responsible for servicing the major clients of ours those are the world leaders in providing their specific services/solutions. I came across your resume in one of the job boards and would like to draw your attention to an open contract position, requirement details are given below: If interested, please share your resume. Job Title: Software Engineer (Python , GCP) Location: Mountain View CA (5 days working) Duration: Contract Minimum Basic Requirements β€’ Python Proficiency: Write, update, and maintain Python frameworks and libraries to support data processing and integration tasks. β€’ Composer / Apache Airflow: Hands-on experience with Apache Airflow, including updating DAGs, managing multi-node rollouts, and troubleshooting issues β€’ Code Management: Use Git and GitHub for source control, code reviews, and version management. β€’ GCP Proficiency: Extensive experience working with GCP services (e.g., Big Query, Cloud Dataflow, Pub/Sub, Cloud Storage, Monitoring). Knowledge of resource labeling and automation through SDKs or APIs. β€’ Software Engineering: Strong understanding of software engineering best practices, including version control (Git), collaborative development (GitHub), code reviews, and CI/CD. β€’ Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges. β€’ Communication: Excellent stakeholder communication skills, with the ability to interface directly with data scientists, platform engineers, and other clients to explain complex technical details, coordinate rollouts, triage issues, and provide updates β€’ Bachelor’s or master’s degree in computer science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program What you’ll do β€’ Develop and enhance Python frameworks and libraries to support cost tracking, data processing, data quality, lineage, governance, and MLOps. β€’ Implement data processing optimizations to reduce the cost of our larger training data and features pipelines. β€’ Build scalable features and training data batch pipelines leveraging Big query, Dataflow and Composer scheduler/executor framework on Google Cloud Platform. β€’ Implement monitoring, logging, and alerting systems to ensure the reliability and stability of our data and ml infrastructure and pipelines. β€’ Plan and oversee infrastructure rollouts, including phased deployments, validation, and rollback strategies. β€’ Act as primary point of contact for Data Scientists, ML Engineers, and other stakeholders handling rollout coordination, communications, and issue resolution. β€’ Collaborate with ML Platform engineers to ensure seamless integration of updates into workflows. β€’ Document processes and changes, providing clear runbooks and handoffs for ongoing support. Preferred Requirements β€’ Python Mastery: Strong Python development background, with demonstrated experience maintaining and extending production-grade SDKs or internal libraries β€’ Change Management: Experience with infrastructure rollout and change management, including phased deployments, validation, and rollback strategies β€’ Resiliency: Comfortable working in fast-moving ML/AI platform environments, where reliability, transparency, and client experience are key β€’ Batch Pipelines: Experience with building, deploying, and maintaining production batch pipelines processing and publishing petabytes of data. Thanks & Regards, Manoj Yadav Team Lead Quantum World Technologies Inc. Manoj.yadav@quantumworldit.com Office: 805-574-2753