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Azure Full-Stack Engineer: Cloud Apps & Data Pipelines
Job in
Wilmington, Middlesex County, Massachusetts, 01887, USA
Listed on 2026-05-28
Listing for:
Veriipro
Full Time
position Listed on 2026-05-28
Job specializations:
-
Software Development
Data Engineer
Job Description & How to Apply Below
We are seeking a highly skilled Azure Full Stack Developer to design, develop, and maintain scalable cloud-based applications and data pipelines. The ideal candidate has deep expertise in Azure services, front-end frameworks, and back-end development, with a strong focus on data integration and CI/CD automation.
Roles and Responsibilities- Design, develop, and maintain applications and data solutions using Azure services, including App Services, Azure SQL, Key Vault, Functions, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Dev Ops Pipelines.
- Build and manage ETL/ELT pipelines using ADF, Synapse, and other Azure data services for ingestion, transformation, and orchestration across multiple data sources (APIs, databases, SaaS platforms).
- Develop front-end applications using React (or Angular/Vue), integrating with REST APIs.
- Implement back-end services in C#, Java, or Node.js, ensuring performance and scalability.
- Apply data modeling, data quality, and optimization techniques for large-scale data pipelines.
- Collaborate with Dev Ops teams to implement CI/CD pipelines, automation, and Git-based workflows.
- Troubleshoot, monitor, and optimize cloud applications and data solutions for efficiency and reliability.
- Strong proficiency with Azure cloud services:
App Services, Azure SQL, Key Vault, Functions, ADF, ADLS, Synapse, and Dev Ops Pipelines. - Hands-on experience with ETL/ELT design, data ingestion, transformation, and orchestration.
- Front-end development experience with React (or Angular/Vue, JavaScript/Type Script).
- Back-end development experience with C#, Java, or Node.js.
- Knowledge of data modeling, quality, and performance optimization for large-scale pipelines.
- Strong understanding of CI/CD pipelines, automation, and Git-based development workflows.
- Experience with cloud-based analytics and big data solutions.
- Familiarity with security best practices in cloud applications.
- Strong problem-solving, analytical, and communication skills.
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