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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Engineer (Backend & Data) - **Company:** AllSTEM Connections - **Location:** Ontario, CA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Databases, Computer Engineering, Data Migration, Python (Programming Language), PostgreSQL, Software Architecture, Software Engineering, Management of Software Versions, Google Cloud, Cloud Platform System, Chatbots, Large Language Models, Reliability of Systems, Technical Debt, Backend, Fastapi, Containerization, Information Technology, Data Analytics, Bicep, Terraform, Data Pipelines, Docker - **Published:** August 29, 2026 - **Apply:** https://www.dice.com/job-detail/b8fa77b3-3eb0-4026-a0e0-030c3acc6909 ## About the Role * Education: Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related technical field. * Experience: 5 to 7 years of professional full-time software engineering experience. * Core Tech Stack: + Strong, non-negotiable proficiency in Python and backend development (FastAPI). + Solid database experience with PostgreSQL. + Cloud computing proficiency (Azure preferred, or AWS/Google Cloud Platform) along with containerization (Docker). + Experience building and deploying high-performance APIs. * Systems Mindset: Proven track record of system design, data-intensive architecture, and managing complex migrations. * Bonus / Preferred Experience: + Background in energy systems, carbon analytics, sustainability, or healthcare. + Early-stage startup or new venture experience building products from scratch. + Familiarity with Dagster, DuckDB, Infrastructure as Code (Terraform/Bicep), and AI/LLM integrations. ## Description We are partnering with an innovative, data-driven technology company to find a Senior Full Stack Engineer with a heavy emphasis on backend architecture, APIs, and cloud systems. As a key hands-on technical contributor, you will help build and scale an analytical platform during a major expansion phase. This role requires strong systems thinking and a focus on data-intensive applications, backend stability, and modern cloud deployment. (Note: This is an individual contributor, hands-on role without direct reports, offering a hybrid work model with an on-site requirement in Oakland, CA from Tuesday through Thursday)., * Design, develop, and maintain robust, scalable, and secure backend systems, data pipelines, and high-performance APIs using Python and FastAPI. * Own data migration initiatives (utilizing tools like Dagster and DuckDB) while maintaining system reliability and operational continuity. * Architect and manage cloud infrastructure on Microsoft Azure, supporting containerized services and data-intensive workflows. * Integrate advanced capabilities, including AI-hosted chatbots and LLM-driven tools, into cloud-native analytical systems. * Partner closely with Product and Delivery teams to translate business needs into robust, production-ready features. * Drive long-term technical architecture, manage system versioning, and actively minimize technical debt. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [The 7 Most Popular Backend Frameworks for Developers](https://www.wearedevelopers.com/magazine/403-the-7-most-popular-backend-frameworks-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [The 13 Best Python Libraries for Developers in 2025](https://www.wearedevelopers.com/magazine/371-the-13-best-python-libraries-for-developers-in-2025) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)