Azure Fullstack Developer ($70/hr)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Full Stack Developer with a contract length of "unknown," offering a pay rate of $70/hr. Key skills required include Angular/React, Azure services, Databricks, and AI technologies, with a focus on full-stack development and data engineering.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
560
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πŸ—“οΈ - Date discovered
September 24, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Houston, TX
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🧠 - Skills detailed
#Code Reviews #Data Storage #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Monitoring #Cloud #Big Data #Logging #Synapse #Data Lake #Azure Machine Learning #ML (Machine Learning) #Data Engineering #Azure #Data Science #Agile #Angular #React #Spark (Apache Spark) #Security #Databricks #Scala #Data Processing #API (Application Programming Interface) #Storage
Role description
Job Overview We are looking for a talented and forward-thinking Azure Full Stack Developer with expertise in Angular/React, Azure services, Databricks, and AI technologies. In this role, you will design, build, and deploy a next-generation web application that harnesses data from the Lakehouse and integrates advanced AI capabilities. This is a unique opportunity to work at the intersection of modern full-stack development, big data engineering, and applied AI. Key Responsibilities Full-Stack Development β€’ Build and maintain dynamic, responsive, and user-friendly frontends using Angular or React. β€’ Develop intelligent applications leveraging agentic AI. β€’ Implement robust backends with Azure API Management, Azure Functions, and RESTful APIs to enable seamless system integration. Data Engineering with Databricks β€’ Partner with data engineers and analysts to process, transform, and orchestrate large-scale data in Azure using Databricks. β€’ Create, test, and deploy ETL pipelines with Databricks notebooks and Spark clusters. AI & Machine Learning Integration β€’ Embed AI models and ML workflows into applications using Azure AI and ML services. β€’ Collaborate with data scientists to integrate pre-trained or custom models for use cases such as predictive analytics, recommendation engines, or natural language processing. Cloud Infrastructure & Lakehouse Integration β€’ Ensure efficient data storage, retrieval, and management from the Azure Lakehouse. β€’ Develop secure, scalable Azure-based applications using Blob Storage, Data Lake Gen2, and Synapse Analytics. Collaboration & Agile Delivery β€’ Work in close partnership with product owners, UX/UI designers, QA engineers, and other stakeholders in an Agile environment. β€’ Participate in code reviews, mentor peers, and uphold coding best practices and standards. Performance & Reliability β€’ Optimize application performance across the stack for scalability, responsiveness, and security. β€’ Implement monitoring, logging, and alerting to ensure system reliability and rapid issue resolution. Skills & Qualifications β€’ Proven background in full-stack development within the Azure ecosystem. β€’ Strong experience in frontend development with Angular or React. β€’ Expertise in Azure API Management, Azure Functions, and RESTful APIs. β€’ Proficiency with Databricks and Spark for large-scale data processing. β€’ Hands-on experience with Azure Data Lake, Synapse Analytics, and Lakehouse architectures. β€’ Demonstrated ability to integrate AI and ML models using Azure Machine Learning and Cognitive Services.