

Azure Fullstack Developer ($70/hr)
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
-
ποΈ - Date discovered
September 24, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Unknown
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Houston, TX
-
π§ - 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.
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.