Azure Data Engineer - Azure Data Factory & Integration Services

TECHNICAL SOLUTION TECHNOLOGIES, INC.
Los Angeles, CA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$123,304.0 - $148,495.0
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Continuous Integration Data Integration Extract Transform Load (ETL) Standard Sql Systems Integration Enterprise Data Management Enterprise Software Applications Microsoft Power Automate Azure Data Factory Enterprise Integration Cloud Integration
+2 more
Data Pipelines Api Management

Job description

Responsibilities: Design, develop, and maintain Azure data integration solutions. Build and optimize ADF pipelines. Integrate enterprise applications using Azure Integration Services. Troubleshoot data pipeline and integration issues. Work closely with business and technical teams to deliver scalable data solutions.

Requirements

We are looking for an experienced Azure Data Engineer with strong hands-on expertise in Azure Data Factory (ADF) and Azure Integration Services to support Enterprise Data Hub (EDH) initiatives.

Required Skills: 5+ years of experience in Azure Data Engineering. Strong experience with Azure Data Factory (ADF). Experience with Azure Integration Services (Logic Apps, Service Bus, Event Grid, API Management, or related services). Good knowledge of SQL and data integration concepts. Experience building and maintaining ETL/ELT pipelines. Familiarity with Azure DevOps and CI/CD is a plus. Strong analytical and problem-solving skills. Excellent communication and collaboration skills.

Benefits & conditions

$123,303.72 - $148,494.80 a year - Full-time, Contract

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · WWC 2024

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · WWC Europe 2026

4:27 min

Running custom code and managing API security policies

Sander ten Brinke Sander ten Brinke · WWC 2024

4:21 min

Scaling operations using Azure AI Foundry tools

Maxim Salnikov Maxim Salnikov · WWC 2025

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

1:56 min

Creating immutable blockchain tables using standard SQL syntax

Wei Hu Wei Hu · WWC 2023

Videos

See all

Related articles

See all