Azure Data Engineer

Madison-Davis

Charlotte, NC

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JOB DETAILS

SALARY

$50

SKILLS

Application Programming Interface (API), Best Practices, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Data Lake, Data Management, Database Extract Transform and Load (ETL), DevOps, Git, Jenkins, Machine Tool, Microsoft Windows Azure, NoSQL, Performance Management, Python Programming/Scripting Language, Relational Databases (RDBMS), Reliability Engineering, SQL (Structured Query Language), Scalable System Development, Software Engineering, Team Player

LOCATION

Charlotte, NC

POSTED

13 days ago

A global enterprise organization is seeking an experienced Azure Data Engineer to support the design, development, and optimization of cloud-native data solutions. This role will focus on building scalable Azure-based data platforms and modernizing enterprise data infrastructure.

The ideal candidate brings strong hands-on expertise with Databricks, PySpark, Python, and Azure cloud technologies. You will work closely with engineering and business stakeholders to develop reliable data pipelines, improve data accessibility, and support large-scale analytics initiatives.
What You ll Tackle

Design and implement scalable Azure-based data solutions
Build and optimize ETL/ELT pipelines using modern cloud technologies
Develop and maintain solutions using Azure Databricks and PySpark
Support enterprise data ingestion, transformation, and integration workflows
Work with Azure Data Factory, Data Lake Gen2, and Synapse environments
Develop APIs and integration services using Python frameworks such as FastAPI
Collaborate with engineering teams on CI/CD and DevOps best practices
Improve performance, reliability, and scalability across cloud data environments

What You Bring

Proven experience as a Data Engineer within Azure cloud environments
Strong hands-on expertise with Databricks, PySpark, and Python
Experience with Azure Data Factory and Azure Data Lake Gen2
Strong SQL skills across relational and/or NoSQL databases
Experience designing cloud-native ETL/ELT workflows
Familiarity with Azure Functions and API integrations
Understanding of CI/CD pipelines and DevOps workflows
Experience with Git, Jenkins, or similar tooling
Strong communication and collaboration skills

About the Company

Madison-Davis

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