Azure Data Engineer

Axiom
Charlotte, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charlotte, United States of America

Tech stack

Business Analytics Applications
Azure
Cloud Database
Information Engineering
Data Security
Data Systems
Cloud Services
Enterprise Data Management
Cloud Platform System
Azure
Data Lake
Integration Frameworks
Data Management
Azure
Data Pipelines
Databricks

Job description

Join a technology organization supporting enterprise-scale financial services operations, where secure, reliable, and compliant data solutions are essential to business performance. This team operates in a structured, fast-paced environment focused on modernizing data platforms, strengthening cloud capabilities, and enabling better access to trusted data across the organization.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Charlotte, NC, supporting cloud-based data engineering initiatives using Microsoft Azure technologies. The role offers the chance to work on enterprise data platforms, modern data pipelines, and cloud-native analytics solutions in a senior-level capacity.

How You Will Make An Impact:

  • Design, build, and maintain scalable data engineering solutions using Microsoft Azure technologies.
  • Develop and optimize data pipelines that support enterprise reporting, analytics, and downstream business use cases.
  • Implement and support cloud-based data lake solutions with a focus on performance, reliability, and maintainability.
  • Partner with technology, data, and business stakeholders to translate data needs into secure and efficient solutions.
  • Support data security, governance, and compliance standards across cloud-based data environments.
  • Contribute to modernization efforts involving Azure Synapse, Azure Data Factory, and Databricks.

Requirements

Do you bring proven success in Azure data engineering and cloud data platform delivery?

  • 10+ years of overall technology/data engineering experience preferred.
  • Strong hands-on experience designing and developing data solutions in Microsoft Azure.
  • Proven experience with Azure Synapse, Azure Data Factory, and Databricks.
  • Experience building data pipelines, data lakes, and cloud-based data integration workflows.
  • Strong understanding of data security, compliance, governance, and enterprise data standards.
  • Azure certifications are strongly preferred.
  • Ability to work effectively in a hybrid, enterprise environment with strong communication and problem-solving skills.

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