Why this role stands out
This Python Software Developer role offers exciting opportunities to work with cutting-edge Generative AI and modern data platforms, fostering significant career growth. If you are a mid-senior developer with expertise in data engineering, cloud, and system design, this hybrid position in Phoenix is a fantastic chance to expand your skills and contribute to innovative projects. Apply now to leverage your Python proficiency and shape the future of technology.
Quick overview
Job description
Python Software Developer
Long term Contract
Phoenix, AZ (Hybrid-3 days onsite)
Note: Need only locals to Arizona who can do in-person interview
Direct client- Immediate client interview
Role Summary
We are looking for an experienced Python Software Developer with strong expertise in data engineering, cloud platforms, and system design. The ideal candidate should have a solid understanding of end-to-end (E2E) flows, architecture, and modern data platforms, along with hands-on experience in building scalable data pipelines and applications. Exposure to Generative AI (Gen-AI) is also expected. Key Responsibilities
· Design, develop, and maintain scalable applications and data pipelines using Python
· Build and manage data ingestion pipelines and workflows
· Design and orchestrate workflows using Apache Airflow (DAGs)
· Work with BigQuery (BQ), Bigtable, and CloudSQL for data storage and processing
· Design and implement data models using Star and Snowflake schemas
· Understand and contribute to end-to-end system flows across distributed systems
· Collaborate on system architecture, ensuring scalability, reliability, and performance
· Integrate APIs, including GraphQL and REST-based services
· Work with both relational and NoSQL databases
· Apply or integrate Generative AI (Gen-AI) solutions where applicable
· Troubleshoot, optimize, and enhance existing systems and pipelines
Required Skills & Qualifications
· 5+ years of experience in software/data engineering with strong Python expertise
· Hands-on experience with Apache Airflow (DAG design and orchestration)
· Strong experience with data ingestion and pipeline development
· Experience with BigQuery (BQ), Bigtable, and CloudSQL
· Experience designing Star and Snowflake data models
· Strong experience with cloud platforms (Google Cloud Platform/AWS/Azure)
· Solid understanding of E2E system architecture and data flow
· Experience with relational databases (PostgreSQL, MySQL) and NoSQL databases
· Familiarity with GraphQL APIs and microservices architecture
· Exposure to or hands-on experience with Generative AI (Gen-AI)
· Strong problem-solving skills and ability to work independently
Preferred Qualifications
· Knowledge of containerization (Docker, Kubernetes)
· Experience with CI/CD pipelines
· Exposure to large-scale data processing and distributed systems
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