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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Showing 5 of 41+ Azure Data Engineer jobs
Role: Azure Data Engineer
Location: Remote
Job Summary
We are seeking a highly skilled Azure Data Engineer with strong expertise in Databricks, Azure data services, and modern data engineering practices. The ideal candidate will have hands-on experience designing, building, and optimizing scalable data pipelines and enterprise-grade lakehouse architectures in hybrid cloud environments.
Key Responsibilities
- Design, build, and orchestrate scalable data pipelines using Azure-native services.
- Develop and optimize batch and near real-time data processing solutions using Spark and Databricks.
- Implement and manage enterprise-grade Lakehouse architectures (Medallion architecture).
- Perform data processing, validation, and automation using Python (PySpark, Pandas, NumPy).
- Optimize performance of large-scale data systems, including Spark tuning and query optimization.
- Work with CDC (Change Data Capture) pipelines and large-volume data ingestion.
- Collaborate with cross-functional teams to deliver secure, scalable, and high-performance data platforms.
- Implement CI/CD pipelines and DevOps best practices for data engineering workflows.
Required Skills & Experience
- Strong experience with Azure Databricks, including notebooks, clusters, and Delta Lake.
- Hands-on expertise in Azure Data Factory (ADF) and pipeline orchestration.
- Proficiency in Python (PySpark, Pandas, NumPy) and SQL.
- Experience with Spark SQL, performance tuning, and distributed data processing.
- Solid understanding of Azure ecosystem: ADLS, Synapse Analytics, Azure Functions, Event Grid, Key Vault, Purview.
- Must have experience with Tableau and Power BI.
- Knowledge of dimensional data modeling and analytics solutions.
Pay
Up to $55.00 per hour
Work Location
Remote
Role: Azure Data Engineer
Location: Remote
Job Summary
We are seeking a highly skilled Azure Data Engineer with strong expertise in Databricks, Azure data services, and modern data engineering practices. The ideal candidate will have hands-on experience designing, building, and optimizing scalable data pipelines and enterprise-grade lakehouse architectures in hybrid cloud environments.
Key Responsibilities
- Design, build, and orchestrate scalable data pipelines using Azure-native services.
- Develop and optimize batch and near real-time data processing solutions using Spark and Databricks.
- Implement and manage enterprise-grade Lakehouse architectures (Medallion architecture).
- Perform data processing, validation, and automation using Python (PySpark, Pandas, NumPy).
- Optimize performance of large-scale data systems, including Spark tuning and query optimization.
- Work with CDC (Change Data Capture) pipelines and large-volume data ingestion.
- Collaborate with cross-functional teams to deliver secure, scalable, and high-performance data platforms.
- Implement CI/CD pipelines and DevOps best practices for data engineering workflows.
Required Skills & Experience
- Strong experience with Azure Databricks, including notebooks, clusters, and Delta Lake.
- Hands-on expertise in Azure Data Factory (ADF) and pipeline orchestration.
- Proficiency in Python (PySpark, Pandas, NumPy) and SQL.
- Experience with Spark SQL, performance tuning, and distributed data processing.
- Solid understanding of Azure ecosystem: ADLS, Synapse Analytics, Azure Functions, Event Grid, Key Vault, Purview.
- Must have experience with Tableau and Power BI.
- Knowledge of dimensional data modeling and analytics solutions.
Pay
Up to $55.00 per hour
Work Location
Remote
See All 41+ Azure Data Engineer Jobs
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Find Azure Data Engineer JobsAzure Data Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Tata Consultancy Services (TCS)7
- Tiger Analytics4
- LTIMindtree3
- Capgemini2
- Infosys2
Top Industries Hiring
- Technology & Software32
- Consulting & Professional Services7
- Artificial Intelligence2
- Science & Research2
- Banking & Financial Services1
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 Tata Consultancy Services (TCS), Tiger Analytics, and LTIMindtree, with the largest share of openings in Texas, New Jersey, and New York, based on current listings on Migrate Mate as of June 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 20% of azure data engineer openings are fully remote or hybrid as of June 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 41+ Azure Data Engineer Jobs
Jump back to the full list of openings and apply to any azure data engineer role that fits.
Find Azure Data Engineer Jobs