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 4 of 34+ Azure Data Engineer jobs
Position Summary
The Lead Azure Data Engineer will be reporting to VP of Data Engineering and will be responsible for implementing data solutions and collaborating with Business Analyst, Data Analyst, IT Teams and key stake holders. This role will lead projects and coach junior staff on build and optimize data pipelines, integrating data from various sources, ETL (Extract, Transform, Load) processes and ensuring data quality and consistency. The Lead will ensure that our data engineering practices are aligned with the latest technologies and industry best practices, focusing on performance, reliability, and efficiency.What will your job entail?
- Provide technical leadership in data architecture and engineering, collaborating with solution stakeholders to align data solutions with business objectives.
- Mentor less experienced data engineers and team members, fostering a collaborative and innovative work environment.
- Explore and implement new technologies and practices in data engineering to continually improve our data processes and infrastructure.
- Manage and enhance complex SSIS packages for data integration and ETL processes, along with SSRS reports for business intelligence.
- Design, build, and maintain scalable and efficient data pipelines using Azure Data Factory, implementing both batch and real-time data integration processes.
- Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments.
- Implement and manage data storage solutions using Delta Parquet files in Azure Data Lake Storage, optimizing for query performance and cost-efficiency.
- Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality.
- Set up and manage Change Data Capture processes for real-time data synchronization in Azure data platforms.
- Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance.
- Enhance and support Tableau reporting solutions, developing complex dashboards, and integrating with Azure data services.
- Drive automation and process optimization using Azure services and scripting and implement CI/CD pipelines using Azure DevOps.
- Lead SQL Server database optimization and performance tuning efforts.
- Lead, Coach and Mentor junior staff on projects.
Work Experience and Education:
- Bachelor’s degree required, Master’s degree preferred; Computer science, Information Technology or Engineering is preferred. Any other related discipline or commensurate work experience considered.
- 12+ years of experience in Data Engineering with a Bachelor’s degree, or 8 years of experience with a Master’s degree is preferred.
- Subject Matter Expert in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services.
- Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview.
- Proven experience in Tableau and BI Reporting, and strong skills in Automation and Process
Licenses & Certifications:
- Advanced Data Analytics Certifications (ADAC), SAS Statistical Business Analyst Professional Certification (SBAPC), or Cloudera Certified Professional (CCP) Data Engineer a plus.
Skills:
Technical/Functional Skills:
- Big Data Analytics
- Leadership
- Data Governance
- Data Modeling
- Data Processing
- Data Warehousing
- Database Management
- Knowledge of ETL processes
- Machine Learning
- Predictive Analysis
- Programming Languages
Behavioral Skills:
- Critical Thinker
- Communication
- Relationship Building
- Effective Communication
- Time Management
- Problem Solving
- Attention to Detail
*****Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time*****
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.
How We Support Our Teammates
Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.
The target salary range for this position is $140,000.00 - $175,000.00 annually.The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/.
We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com
The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Position Summary
The Lead Azure Data Engineer will be reporting to VP of Data Engineering and will be responsible for implementing data solutions and collaborating with Business Analyst, Data Analyst, IT Teams and key stake holders. This role will lead projects and coach junior staff on build and optimize data pipelines, integrating data from various sources, ETL (Extract, Transform, Load) processes and ensuring data quality and consistency. The Lead will ensure that our data engineering practices are aligned with the latest technologies and industry best practices, focusing on performance, reliability, and efficiency.What will your job entail?
- Provide technical leadership in data architecture and engineering, collaborating with solution stakeholders to align data solutions with business objectives.
- Mentor less experienced data engineers and team members, fostering a collaborative and innovative work environment.
- Explore and implement new technologies and practices in data engineering to continually improve our data processes and infrastructure.
- Manage and enhance complex SSIS packages for data integration and ETL processes, along with SSRS reports for business intelligence.
- Design, build, and maintain scalable and efficient data pipelines using Azure Data Factory, implementing both batch and real-time data integration processes.
- Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments.
- Implement and manage data storage solutions using Delta Parquet files in Azure Data Lake Storage, optimizing for query performance and cost-efficiency.
- Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality.
- Set up and manage Change Data Capture processes for real-time data synchronization in Azure data platforms.
- Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance.
- Enhance and support Tableau reporting solutions, developing complex dashboards, and integrating with Azure data services.
- Drive automation and process optimization using Azure services and scripting and implement CI/CD pipelines using Azure DevOps.
- Lead SQL Server database optimization and performance tuning efforts.
- Lead, Coach and Mentor junior staff on projects.
Work Experience and Education:
- Bachelor’s degree required, Master’s degree preferred; Computer science, Information Technology or Engineering is preferred. Any other related discipline or commensurate work experience considered.
- 12+ years of experience in Data Engineering with a Bachelor’s degree, or 8 years of experience with a Master’s degree is preferred.
- Subject Matter Expert in SQL Server Management, Azure Data Factory Development, Databricks Engineering, Delta Parquet File Management, and SQL Server Integration Services.
- Proficiency in Profisee MDM Integration, Change Data Capture implementation, and data quality and governance with Azure Purview.
- Proven experience in Tableau and BI Reporting, and strong skills in Automation and Process
Licenses & Certifications:
- Advanced Data Analytics Certifications (ADAC), SAS Statistical Business Analyst Professional Certification (SBAPC), or Cloudera Certified Professional (CCP) Data Engineer a plus.
Skills:
Technical/Functional Skills:
- Big Data Analytics
- Leadership
- Data Governance
- Data Modeling
- Data Processing
- Data Warehousing
- Database Management
- Knowledge of ETL processes
- Machine Learning
- Predictive Analysis
- Programming Languages
Behavioral Skills:
- Critical Thinker
- Communication
- Relationship Building
- Effective Communication
- Time Management
- Problem Solving
- Attention to Detail
*****Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time*****
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.
How We Support Our Teammates
Ryan Specialty seeks to offer our employees a comprehensive and best-in-class benefits package that helps them — and their family members — achieve their physical, financial, and emotional well-being goals. In addition to paid time off for company holidays, vacation, sick and personal days, Ryan offers paid parental leave, mental health services and more.
The target salary range for this position is $140,000.00 - $175,000.00 annually.The wage range for this role considers many factors, such as training, transferable skills, work experience, licensure and certification, business needs, and market demands. The pay range is subject to change and may be modified in the future. Full-time roles are eligible for bonuses and benefits. For additional information on Ryan Specialty Total Rewards, visit our website https://benefits.ryansg.com/.
We provide individuals with disabilities reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment in accordance with applicable law. Please contact us to request an accommodation at HR@Ryansg.com
The above is intended to describe this job's general requirements. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Azure Data Engineer Jobs by Experience Level
See All 34 Azure Data Engineer Jobs
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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 Cyberlocke, Tiger Analytics, and I4DM, with the largest share of openings in Texas, California, and District of Columbia, based on current listings on Migrate Mate as of November 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 76% of azure data engineer openings are fully remote or hybrid as of November 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 34 Azure Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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