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Azure Data Engineer - 100% remote

Lorven Technologies, Inc.United States🇺🇸United StatesPosted 10 Sept 2026

Why This Role Stands Out

This fully remote Azure Data Engineer role offers a unique opportunity to contribute to a large-scale cloud migration, honing your skills in Azure data services and cloud-native architectures. You'll thrive here if you're an experienced engineer passionate about designing and optimizing scalable data solutions and eager to make a significant impact. Apply now to join a dynamic team and advance your career in cloud data engineering.

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLETLAgileAzureCOBOLDatabricks

Job Description

Job Title: Azure Data Engineer

Location: 100% remote (USA)

Project description

  • We are seeking an experienced Azure Data Engineer to support a large-scale Mainframe to Azure Cloud PaaS migration program.
  • The ideal candidate will have strong expertise in Azure data services, cloud-native architectures, data integration, and modernization initiatives.
  • This role will work closely with architects, business stakeholders, application teams, and data migration specialists to design, build, and optimize scalable data solutions on the Azure platform.
  • The engineer will be responsible for migrating legacy data assets from Mainframe environments to Azure-based PaaS services while ensuring data quality, performance, security, and operational excellence.

Responsibilities

  • Cloud Data Engineering & Migration
  • Design and implement scalable Azure-based data solutions supporting enterprise modernization initiatives.
  • Analyze legacy Mainframe data structures, files, and processing workflows.
  • Develop and execute data migration strategies from Mainframe platforms to Azure Cloud.
  • Build and optimize ETL/ELT pipelines for data ingestion, transformation, and loading.
  • Support batch modernization and data integration requirements.
  • Ensure successful migration of historical and operational data with minimal business disruption.
  • Azure Platform Engineering
  • Develop solutions using Azure PaaS services, including:
  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Data Lake Storage Gen2
  • Azure SQL Database
  • Azure Functions
  • Azure Logic Apps
  • Implement cloud-native data architectures aligned with Azure best practices.
  • Optimize performance, scalability, and cost efficiency of Azure data -platforms.
  • Data Management & Governance
  • Ensure data quality, integrity, lineage, and governance standards.
  • Implement security controls following enterprise and regulatory requirements.
  • Establish monitoring, logging, and operational support processes.
  • Support data validation, reconciliation, and testing activities during -migration phases.
  • Collaboration & Delivery
  • Collaborate with enterprise architects, application teams, business analysts, and infrastructure teams.
  • Participate in solution design reviews and technical workshops.
  • Document technical designs, migration approaches, and deployment procedures.
  • Support Agile delivery methodologies and project milestones.

Skills Must have

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience.
  • 5+ years of experience in Data Engineering.
  • 3+ years of hands-on Azure Cloud experience.
  • Experience with large-scale data migration or modernization projects.
  • Strong knowledge of Azure Data Factory, Databricks, Synapse Analytics, and Data Lake.
  • Strong SQL development and performance tuning skills.
  • Experience developing ETL/ELT data pipelines.
  • Understanding of cloud security and governance principles.
  • Experience with CI/CD and DevOps practices.
  • Excellent problem-solving and communication skills.

Nice to have

  • Experience in Mainframe modernization programs.
  • Knowledge of Mainframe technologies such as:
  • COBOL
  • JCL
  • VSAM
  • DB2
  • IMS
  • CICS
  • Experience with modernization tools and migration frameworks.
  • Familiarity with event-driven and serverless architectures.
  • Experience working in enterprise-scale Azure environments.
  • Azure certifications are highly desirable:
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Certified: Azure Solutions Architect Expert
  • Microsoft Certified: Azure Administrator Associate

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