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.
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Job Description:
· As an Azure Database Architect, this position will participate in the analysis and design, and support development, implementation, and potentially ongoing support of Azure Databases and Data Lakes, with a primary focus on the Data Lakehouse and its integrated data reserves.
· The responsibilities will include designing, administering, maintaining, and securing data to ensure efficient and reliable data storage solutions.
· The position will collaborate with cross-functional teams to optimize data workflows, support data-driven decision-making, and implement best practices for data security and integrity in Azure environments.
· This position also will provide mentorship to other architects and database engineers.
Job Responsibility:
· Support design and implementation to improve, modernize, and transform data-driven service delivery.
· Ensure data assets are structured, accessible, secure, and align with DCYF, MNIT, and Enterprise goals.
· Recommend data platforms and tools to support enterprise data architecture.
· Develop data models.
· Ensure data access patterns are optimized.
· Maintain necessary documentation.
· Coordinate with necessary teams to meet security standards.
· Support design and development of disaster recovery solutions.
· Provide knowledge transfer.
Desired Qualifications:
· Strong experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
· Strong experience with Databricks.
· Strong experience with Oracle databases.
· Experience developing and implementing data transformation solutions and cloud infrastructure integrations.
· Experience coding and testing programs and scripts to load data using Azure data load utilities.
· Experience with CI/CD pipelines.
· Experience with cloud computing concepts.
· Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, Pearl, and Azure CLI/PowerShell for infrastructure management.
· Experience in mentoring others in the needed technologies.
· Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
· Experience with role-based access control, encryption, and network security.
· Strong organizational and time management skills.
· Desired 10 years’ experience in data architecture or data management.
· Knowledge of data concepts, data modeling, schema design, and indexing strategies.
· Knowledge of Azure SQL instances, managed instances, and elastic pools.
Requirements
Desired Qualifications:
· Strong experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
· Strong experience with Databricks.
· Strong experience with Oracle databases.
· Experience developing and implementing data transformation solutions and cloud infrastructure integrations.
· Experience coding and testing programs and scripts to load data using Azure data load utilities.
· Experience with CI/CD pipelines.
· Experience with cloud computing concepts.
· Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, Pearl, and Azure CLI/PowerShell for infrastructure management.
· Experience in mentoring others in the needed technologies.
· Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
· Experience with role-based access control, encryption, and network security.
· Strong organizational and time management skills.
· Desired 10 years’ experience in data architecture or data management.
· Knowledge of data concepts, data modeling, schema design, and indexing strategies.
· Knowledge of Azure SQL instances, managed instances, and elastic pools.
- Knowledge of Data Warehouse Administration and Teradata Data Warehouse.
Job Description:
· As an Azure Database Architect, this position will participate in the analysis and design, and support development, implementation, and potentially ongoing support of Azure Databases and Data Lakes, with a primary focus on the Data Lakehouse and its integrated data reserves.
· The responsibilities will include designing, administering, maintaining, and securing data to ensure efficient and reliable data storage solutions.
· The position will collaborate with cross-functional teams to optimize data workflows, support data-driven decision-making, and implement best practices for data security and integrity in Azure environments.
· This position also will provide mentorship to other architects and database engineers.
Job Responsibility:
· Support design and implementation to improve, modernize, and transform data-driven service delivery.
· Ensure data assets are structured, accessible, secure, and align with DCYF, MNIT, and Enterprise goals.
· Recommend data platforms and tools to support enterprise data architecture.
· Develop data models.
· Ensure data access patterns are optimized.
· Maintain necessary documentation.
· Coordinate with necessary teams to meet security standards.
· Support design and development of disaster recovery solutions.
· Provide knowledge transfer.
Desired Qualifications:
· Strong experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
· Strong experience with Databricks.
· Strong experience with Oracle databases.
· Experience developing and implementing data transformation solutions and cloud infrastructure integrations.
· Experience coding and testing programs and scripts to load data using Azure data load utilities.
· Experience with CI/CD pipelines.
· Experience with cloud computing concepts.
· Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, Pearl, and Azure CLI/PowerShell for infrastructure management.
· Experience in mentoring others in the needed technologies.
· Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
· Experience with role-based access control, encryption, and network security.
· Strong organizational and time management skills.
· Desired 10 years’ experience in data architecture or data management.
· Knowledge of data concepts, data modeling, schema design, and indexing strategies.
· Knowledge of Azure SQL instances, managed instances, and elastic pools.
Requirements
Desired Qualifications:
· Strong experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
· Strong experience with Databricks.
· Strong experience with Oracle databases.
· Experience developing and implementing data transformation solutions and cloud infrastructure integrations.
· Experience coding and testing programs and scripts to load data using Azure data load utilities.
· Experience with CI/CD pipelines.
· Experience with cloud computing concepts.
· Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, Pearl, and Azure CLI/PowerShell for infrastructure management.
· Experience in mentoring others in the needed technologies.
· Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
· Experience with role-based access control, encryption, and network security.
· Strong organizational and time management skills.
· Desired 10 years’ experience in data architecture or data management.
· Knowledge of data concepts, data modeling, schema design, and indexing strategies.
· Knowledge of Azure SQL instances, managed instances, and elastic pools.
- Knowledge of Data Warehouse Administration and Teradata Data Warehouse.
Azure Data Engineer Jobs by Experience Level
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Find Azure Data Engineer JobsAzure Data Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
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 Mindex, THEMESOFT, and Appex Innovation, with the largest share of openings in Texas, Illinois, and Florida, based on current listings on Migrate Mate as of August 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 64% of azure data engineer openings are fully remote or hybrid as of August 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 49 Azure Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Azure Data Engineer Jobs