Azure Data & Integrations Engineer — Remote US

Jobgether; United States; Remote; USD 110,000 - 180,000; Full time

Benefits offered by this job

Remote work within the United States

Competitive salary

Professional development

Job summary

Jobgether seeks a Data & Integrations Engineer in the United States to own the Azure data warehouse, ETL/ELT pipelines, and integrations across NetSuite, HubSpot, and other systems. The role focuses on security, reliability, and scalable data architecture while adopting AI-assisted development practices for productivity.

You will collaborate with Data Warehouse and Business Systems teams to design, develop, and optimize integrations and reporting infrastructure in a fast-evolving technical

Qualifications

• 5+ years in data engineering, BI development, or integrations.
• Strong SQL and relational DB skills (Azure SQL/SQL Server).
• Experience building/maintaining enterprise ETL/ELT pipelines.
• Experience with Azure data services (Azure SQL, Data Factory, Functions, Logic Apps).
• REST APIs, webhooks, and system integrations in production.

Responsibilities

• Maintain and evolve the Azure data warehouse architecture with scalability and security.
• Oversee ETL/ELT pipelines across multiple sources and consult external partners.
• Design schemas, semantic models, and reporting layers for analytics needs.
• Collaborate with BI/reporting teams to ensure data quality and performance.
• Implement and monitor data access controls and data protection measures.
• Develop integrations with NetSuite, HubSpot, and other platforms.
• Incorporate AI-assisted development tools into workflows and review outputs.

Skills

SQL

Azure SQL

ETL/ELT design

REST APIs

Webhooks

Azure Data Factory

Azure Synapse

CI/CD

Python

C#

GitHub Copilot

AI-assisted tooling

Tools

Celigo

NetSuite

HubSpot

Azure DevOps

GitHub

Job description

Jobgether seeks a Data & Integrations Engineer in the United States to own the Azure data warehouse, ETL/ELT pipelines, and integrations across NetSuite, HubSpot, and other systems. The role focuses on security, reliability, and scalable data architecture while adopting AI-assisted development practices for productivity.

You will collaborate with Data Warehouse and Business Systems teams to design, develop, and optimize integrations and reporting infrastructure in a fast-evolving technical