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Microsoft Certified Azure Data Engineer Associate Jobs

New York Blood Center

Senior Data Engineer

Rye, NY · On-site

$112K - $152K/yr

Preferred : • Microsoft Certified: Azure Data Engineer Associate • Databricks Certified Associate Developer for Apache Spark Company : New York Blood Center is a blood collection and distribution ...

GBTI Solutions Inc

Data Engineer

Huntsville, AL

$119K - $143K/yr

Microsoft Certified: Azure Data Engineer Associate or equivalent. * Experience modernizing legacy .NET/SQL case management systems. * Knowledge of ATF/DOJ data governance and security standards.

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Microsoft Certified: Azure Data Engineer Associate or equivalent certification. * Databricks Certified Associate Developer for Apache Spark. * Education : * Bachelor's or Master's degree in Computer ...

Plateau Software, Inc.

Azure Databricks Engineer

Fairfax, VA · On-site

$59.50 - $77.50/hr

Microsoft Certified: Azure Data Engineer Associate (DP-203) or Databricks Certified Data Engineer certification. * Experience supporting federal data modernization or enterprise cloud transformation ...

Plateau Software Inc

Azure Databricks Engineer

Fairfax, VA

$96K - $132K/yr

Microsoft Certified: Azure Data Engineer Associate (DP-203) or Databricks Certified Data Engineer certification. * Experience supporting federal data modernization or enterprise cloud transformation ...

New York Blood Center

Senior Data Engineer

Rye, NY · On-site

$112K - $152K/yr

Microsoft Certified: Azure Data Engineer Associate * Databricks Certified Associate Developer for Apache Spark Knowledge: * Advanced SQL and Python for enterprise-scale data engineering ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY

$127K - $137K/yr

Microsoft Certified: Azure Data Engineer Associate * Databricks Certified Associate Developer for Apache Spark Knowledge: * Advanced SQL and Python for enterprise-scale data engineering--optimization ...

Quiet Professionals LLC

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/yr

Microsoft Certified: Azure Data Engineer Associate (Preferred, Not Required) Clearance Requirement An active TS/SCI security clearance is required for on-site duty location.

1 point system

Azure .NET Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

... on the Microsoft Azure platform. This role demands a deep understanding of cloud-native ... Additional Certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist ...

1 point system

.Net Azure Architect

San Francisco, CA · On-site

$74.75 - $97.50/hr

... on the Microsoft Azure platform. This role demands a deep understanding of cloud-native ... Additional Certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist ...

Lantern

Data Scientist

Dallas, TX · On-site

AI-102 (Microsoft Certified: Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with ...

Lantern

Senior Data & AI Consultant

Dallas, TX · On-site

$104K - $142K/yr

Azure Data Engineer Associate * Microsoft Certified: Power BI Data Analyst Associate Benefits * A culture that both wows our customers and employees; * Variety of challenging projects, and the ...

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Microsoft Certified Azure Data Engineer Associate information

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How much do microsoft certified azure data engineer associate jobs pay per year?

As of Jun 11, 2026, the average yearly pay for microsoft certified azure data engineer associate in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Microsoft Certified Azure Data Engineer Associate vs Microsoft Certified Data Analyst Associate?

AspectMicrosoft Certified Azure Data Engineer AssociateMicrosoft Certified Data Analyst Associate
CertificationsAzure Data Engineer certifications, focusing on data storage, processing, and security in AzureData Analyst certifications, focusing on data visualization, reporting, and analysis using Power BI
Work EnvironmentCloud-based data engineering tasks on Azure platformData analysis and visualization primarily using Power BI and Excel
Industry UsageOrganizations implementing cloud data solutions on AzureBusinesses needing data insights and reporting

The Microsoft Certified Azure Data Engineer Associate focuses on building and managing data solutions on Azure, while the Microsoft Certified Data Analyst Associate specializes in analyzing data and creating reports. Both roles require data skills but serve different functions within data management and analysis.

What is a Microsoft Certified Azure Data Engineer Associate?

A Microsoft Certified Azure Data Engineer Associate is a professional who has demonstrated expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems using Azure data services. They are skilled at designing and implementing data management, monitoring, security, and privacy using the full stack of Azure data services to meet business needs. This certification validates the ability to build and maintain secure and compliant data processing pipelines, and is ideal for those working with large-scale data solutions in the cloud.

What are the key skills and qualifications needed to thrive as a Microsoft Certified Azure Data Engineer Associate, and why are they important?

To thrive as a Microsoft Certified Azure Data Engineer Associate, you need a solid understanding of data engineering concepts, ETL processes, and proficiency in SQL and programming languages such as Python or Scala, typically validated by earning the Microsoft Certified: Azure Data Engineer Associate certification. Hands-on experience with Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks, as well as familiarity with data storage and integration tools, is essential. Strong analytical thinking, problem-solving abilities, and effective communication set top performers apart in this role. These skills ensure reliable data solutions, efficient workflow automation, and successful collaboration with stakeholders to drive business insights.

What are some common challenges faced by Microsoft Certified Azure Data Engineer Associates when managing data pipelines in a cloud environment?

Microsoft Certified Azure Data Engineer Associates often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing data integration from diverse sources. Working in the cloud adds complexity due to the need for efficient resource provisioning, cost management, and keeping up with frequent updates to Azure services. Collaboration with data scientists, analysts, and other engineers is key to resolving issues and ensuring smooth data flow across the organization.
Infographic showing various Microsoft Certified Azure Data Engineer Associate job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Engineer

Senior Data Engineer

New York Blood Center

Rye, NY • On-site

$112K - $152K/yr

Full-time

Posted 5 days ago

New York Blood Center rating

8.6

Company rating: 8.6 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
New York Blood Center (NYBC) has been serving the tri-state area for over 60 years, delivering lifesaving blood products and services. As a Senior Data Engineer, you will design and deliver complex data engineering solutions, drive technical decisions, and mentor Data Engineers while ensuring the reliability and scalability of the data platform across integrated enterprise source systems.
Responsibilities:
• Architect, build, and own complex data pipelines for high-volume, high criticality workstreams across NYBCe's enterprise data platform.
• Lead the design and implementation of ELT/ETL frameworks using SQL, Python, Azure Data Factory, Databricks, and Azure Synapse Analytics.
• Establish pipeline reliability standards—monitoring, alerting, error handling, and recovery protocols—and ensure adherence across the team.
• Drive the design of scalable data models supporting dimensional warehousing, data lake architectures on Azure.
• Contribute to architectural decisions on data storage, partitioning, compute optimization, and consumption layer design.
• Lead migrations from legacy data solutions to modern cloud-native platforms, managing risk and business continuity throughout.
• Design and deliver feature pipelines and data preparation frameworks that support machine learning model development and deployment.
• Partner with Data Scientists to translate model requirements into production-grade data assets and feature stores.
• Collaborate with Analytics Engineers to ensure data models are optimized for analytical consumption and reporting performance.
• Define and implement data quality frameworks—validation rules, SLAs, anomaly detection, and automated testing for pipeline outputs.
• Lead data governance initiatives including metadata management, lineage tracking, data cataloging (Microsoft Purview), and access control.
• Ensure platform compliance with HIPAA, NYBCe data policies, and applicable regulatory requirements.
• Mentor Data Engineers—providing code reviews, technical guidance, and architectural feedback that elevates team capability.
• Contribute to DAPI's engineering standards, reusable frameworks, and technical documentation.
• Participate in Agile ceremonies and model strong engineering discipline—clear DevOps hygiene, sprint commitment, and delivery accountability.
Qualifications:
Required:
• Bachelor’s degree in computer science, Data Science, Information Technology, or a related quantitative field.
• 6+ years of progressive experience in data engineering with demonstrated ownership of complex, production-grade data platforms.
• Expert-level SQL (query optimization, indexing strategy, execution plans) and Python (PySpark, pipeline frameworks, testing).
• Deep hands-on experience with Azure data services: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage.
• Proven experience designing dimensional data models and data lake architecture at enterprise scale.
• Experience building data pipelines that directly support machine learning feature engineering and model serving.
• Strong background in data quality engineering—automated validation, SLA enforcement, and lineage tracking.
• Experience with relational databases (SQL Server, Oracle) and migration from legacy to cloud-native platforms.
Preferred:
• Microsoft Certified: Azure Data Engineer Associate
• Databricks Certified Associate Developer for Apache Spark
Company:
New York Blood Center is a blood collection and distribution organization. Founded in 1964, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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