Azure Data Engineer Jobs
Azure Data Engineer jobs are open across financial services, healthcare, retail, and technology, from junior to principal level, with specializations in data pipeline development, cloud architecture, and analytics engineering. Find a role that fits from the openings below and apply directly.
Find Azure Data Engineer JobsOverview
Showing 5 of 42+ Azure Data Engineer jobs
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
Other
Languages
- English: C1 Advanced
Seniority
- Senior
Location
Deerfield Beach, United States of America
Req. VR-124931
Data Platform Engineering
Cross Industry Solutions
16/09/2026
Req. VR-124931
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
Other
Languages
- English: C1 Advanced
Seniority
- Senior
Location
Deerfield Beach, United States of America
Req. VR-124931
Data Platform Engineering
Cross Industry Solutions
16/09/2026
Req. VR-124931
Azure Data Engineer Jobs by Experience Level
See All 42 Azure Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Azure Data Engineer JobsAzure Data Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
What Employers Look For
The qualifications that appear most often in azure data engineer jobs.
- Proficiency in Azure Data Factory, Synapse Analytics, and Azure Data Lake Storage
- Experience writing and optimizing SQL queries and Python or Scala scripts
- Familiarity with Apache Spark and distributed data processing frameworks
- Microsoft Certified: Azure Data Engineer Associate (DP-203) certification preferred or required
- Knowledge of data modeling, dimensional design, and ETL or ELT pipeline development
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Azure Data Engineer Job Search
Tailor your resume to Azure-specific tools
List Azure Data Factory, Synapse Analytics, Databricks, and Delta Lake separately rather than grouping them under a generic 'cloud' section. Recruiters filter by specific service names, and a vague summary line won't surface your resume in keyword-driven applicant tracking systems.
Certify before you apply to senior roles
Many mid-to-senior azure data engineer postings list the DP-203 or DP-900 certification as a preference or requirement. Completing either before applying moves your resume past the first filter and signals hands-on Microsoft ecosystem experience to hiring managers.
Apply early to roles that fit
Migrate Mate lists azure data engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Quantify pipeline scale on your resume
Replace vague phrases like 'built data pipelines' with specifics: data volume processed, latency targets met, or cost reductions achieved through query optimization. Azure data engineer hiring managers evaluate architecture judgment, and scale numbers make that judgment visible.
Prepare a real architecture walkthrough for interviews
Most technical screens for this role include a whiteboard or verbal walkthrough of a pipeline you designed. Choose one end-to-end project involving ingestion, transformation, and serving layers in Azure, and practice explaining every design decision you made.
Negotiate total compensation, not just base pay
Azure data engineer offers frequently include Azure training credits, certification reimbursement, and remote work stipends that vary significantly between employers. Ask about these before accepting, since they can meaningfully affect the total value of an offer.
Azure Data Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most azure data engineers?
The companies hiring the most azure data engineers right now include Cognizant, Cyberlocke, and Quest Global, with the largest share of openings in Texas, District of Columbia, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in financial services, healthcare systems, and large technology consultancies running Microsoft-stack modernization programs.
How many azure data engineer jobs are remote?
About 75% of azure data engineer openings are fully remote or hybrid as of September 2026, reflecting strong employer comfort with distributed data teams. Roles focused on pipeline development and analytics engineering tend to be the most remote-friendly, while positions requiring close coordination with on-premises infrastructure or regulated data environments are more likely to require some on-site presence.
How do you become an azure data engineer?
Start by building a foundation in SQL and Python, then learn core Azure data services including Azure Data Factory, Synapse Analytics, and Data Lake Storage through Microsoft's free learning paths. Complete hands-on projects that move data end-to-end from ingestion through transformation to a serving layer. Earning the DP-203 certification validates your skills to employers and is a common hiring filter for mid-level roles.
Can you get an azure data engineer job with little experience?
Yes, entry-level and associate azure data engineer roles exist, but you'll need to demonstrate hands-on work rather than just coursework. Build a portfolio project using free Azure credits that includes a real pipeline, document your architecture decisions in a public repository, and target companies running Azure-first data strategies, since those teams are more willing to develop early-career engineers already familiar with the stack.
What does the azure data engineer interview process look like?
The process typically runs three to four stages. A recruiter screen covers your background and experience with Azure services. A technical phone screen or take-home tests your SQL and Python skills, often with a data transformation problem. A final panel includes a system design session where you walk through a pipeline architecture, and sometimes a behavioral round with the engineering manager or a cross-functional stakeholder.
Where can I find and apply to azure data engineer jobs?
You can find and apply to azure data engineer jobs on Migrate Mate, which lists current openings from employers across the United States. Search the listings to find roles that match your experience level and specialization, then apply directly to each one that fits.
See All 42 Azure Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Azure Data Engineer Jobs