Remote Azure Data Integration Engineer

Intone Inc; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Intone Inc. is seeking an Application Integration Developer for a full-time remote role based in the United States. This opportunity focuses on deepening expertise in application and data integration with potential growth toward a data architect position.

You will design and implement integration solutions, develop data applications, and deploy cloud-native data solutions on Microsoft Azure, while writing complex SQL and optimizing data pipelines across systems.

Qualifications

• 7+ years of experience in application or data integration.
• Strong proficiency in C#/.NET development.
• Deep hands-on Azure data services: Data Factory, SQL, Synapse, Event Hubs.
• Expert SQL skills: write complex queries, optimize performance, design schemas.
• Knowledge of SQL and NoSQL databases with performance optimization.
• Experience designing integration solutions (ETL, API patterns, streaming, and event-driven).

Responsibilities

• Design and implement application integration solutions including ETL, APIs, streaming, and event-driven patterns.
• Develop data apps, integration tools, and backend services powering data pipelines.
• Architect and deploy cloud-native data solutions on Microsoft Azure.
• Write complex SQL queries, optimize database performance, and troubleshoot data issues.
• Address enterprise integration challenges and manage data pipelines across systems.

Skills

C#/.NET

ETL & API patterns

Streaming & Event-driven

SQL proficiency

NoSQL databases

Azure Cloud

Tools

Azure Data Factory

Azure SQL

Azure Synapse

Azure Event Hubs

Job description

Intone Inc. is seeking an Application Integration Developer for a full-time remote role based in the United States. This opportunity focuses on deepening expertise in application and data integration with potential growth toward a data architect position.

You will design and implement integration solutions, develop data applications, and deploy cloud-native data solutions on Microsoft Azure, while writing complex SQL and optimizing data pipelines across systems.