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Senior Microsoft Azure Data Engineer Jobs (NOW HIRING)

R2 Technologies Corporation

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure Data Engineer Location : Atlanta, GA Remote Duration : Long-Term We are looking for an ... Technical Skills: 1. Microsoft Azure SQL 2. Azure as a platform 3. Data bricks 4. Delta Sharing 5. ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

We are seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines and ...

Stellar IT Group

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Exposure to Microsoft Fabric is preferred but not required. This role will focus on supporting data ... Collaborate with senior engineers on ETL design, optimization, and performance tuning . * Perform ...

Plateau Software, Inc.

Azure Data Engineer

Fairfax, VA · On-site

$113K - $136K/yr

One or more Microsoft Azure Cloud Certifications (e.g., Azure Data Engineer Associate, Azure ... Solutions Architect, or Azure AI Engineer). * Enterprise-scale experience in: * Cloud and hybrid ...

Plateau Software Inc

Azure Data Engineer

Fairfax, VA

$113K - $136K/yr

One or more Microsoft Azure Cloud Certifications (e.g., Azure Data Engineer Associate, Azure ... Solutions Architect, or Azure AI Engineer). * Enterprise-scale experience in: * Cloud and hybrid ...

Samprasoft

Jr. Data Engineer | ONSITE

Dallas, TX

$113K - $136K/yr

... Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. Combination of Development ...

Robustware

Senior Azure Data Engineer - Fabric

Phoenix, AZ · On-site

$121K - $160K/yr

Senior Azure Data Engineer   (12+ Years Experience) Phoenix - AZ (Strictly Locals), Onsite, Any ... Microsoft Fabric  - Lakehouse, pipelines, dataflows, and integration * Proficiency in: * SQL ...

New

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Hands-on experience using Microsoft SQL Servers, Visual Studio, SQL Server Analysis Services (SSAS ... Azure Data Engineer Associate Certification) preferred * Minimum 3 years of experience working on ...

Wipro Limited

Azure Data Engineer

Minneapolis, MN · On-site

$80K - $158K/yr

... with Microsoft Azure (ADF, ADLS, Synapse or similar) Solid experience in Apache Spark (PySpark ... Azure Data Engineering. Experience: 8-10 Years. The expected compensation for this role ranges from ...

Amerihealth Caritas

Azure Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ...

Apex Informatics

Senior Data Engineer

$108K - $147K/yr

We are seeking a highly skilled and experienced Senior Level Data Engineer with extensive expertise ... The ideal candidate will have a deep understanding of Microsoft Azure and a proven track record of ...

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Senior Microsoft Azure Data Engineer information

See salary details

$81K

$126.3K

$175K

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

As of Jun 9, 2026, the average yearly pay for senior microsoft azure data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Microsoft Azure Data Engineer vs Data Engineer?

AspectSenior Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsGenerally no specific cloud certifications required
Work EnvironmentPrimarily cloud-based, Azure platformOn-premises, cloud, or hybrid environments
ResponsibilitiesDesigning, building, and maintaining data solutions on AzureDeveloping data pipelines, databases, and ETL processes
Industry UsageUsed in organizations leveraging Azure cloud servicesUsed across various industries and cloud providers

The main difference is that a Senior Microsoft Azure Data Engineer specializes in designing and managing data solutions specifically on the Azure platform, often requiring Azure certifications. In contrast, a Data Engineer may work with various cloud providers or on-premises systems without a focus on Azure, handling broader data pipeline and database tasks across different environments.

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

To thrive as a Senior Microsoft Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud architecture, and proficiency with Azure services, supported by a degree in computer science or a related field. Familiarity with tools like Azure Data Factory, Synapse Analytics, Power BI, and relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are typically required. Strong problem-solving, communication, and project management skills distinguish top professionals in this role. These capabilities are essential for designing robust data solutions, ensuring data integrity, and effectively collaborating with stakeholders in complex cloud environments.

What are the most common challenges faced by Senior Microsoft Azure Data Engineers when designing cloud-based data solutions?

Senior Microsoft Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data security and compliance, and managing costs within cloud environments. Balancing scalability with efficiency, especially when dealing with large volumes of real-time data, requires a deep understanding of Azure services and best practices. Additionally, collaborating with data architects, analysts, and DevOps teams to integrate and maintain robust data solutions is a key aspect of the role. Staying updated with Azure’s rapidly evolving ecosystem is essential for long-term success.

What does a Senior Microsoft Azure Data Engineer do?

A Senior Microsoft Azure Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft Azure cloud services. They manage data pipelines, ensure data quality, and optimize storage and processing for large-scale data environments. These professionals also collaborate with other teams to implement best practices in data security, compliance, and performance, leveraging tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Their expertise helps organizations make data-driven decisions and improve business outcomes.
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Senior Microsoft Azure Data Engineer jobs near you
Infographic showing various Senior Microsoft Azure Data Engineer job openings in the United States as of May 2026, with employment types broken down into 11% As Needed, 45% Full Time, 33% Part Time, and 11% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Senior Cloud Data Engineer | Azure Data Platform + AI Integration

Senior Cloud Data Engineer | Azure Data Platform + AI Integration

Ecloud Labs

Dallas, TX • Hybrid

$59.50 - $77.50/hr

Other

Posted 26 days ago

Job description

Senior Cloud Data Engineer | Azure Data Platform + AI Integration

About the Opportunity A leading investment firm combining capital, innovation, and engineering is building the next generation of enterprise data infrastructure. We’re looking for a hands-on Senior Cloud Data Engineer who lives at the intersection of Azure data engineering, AI, and DevOps automation and wants to turn raw data into intelligent, insight-driven automation at scale.

You’ll own the full Microsoft data ecosystem (Azure Data Factory, Microsoft Fabric, Synapse Analytics, Logic Apps, Function Apps) while embedding Azure OpenAI and AI Services directly into production pipelines. You’ll also bring AWS knowledge to support multi-cloud resilience and hybrid workloads.

This is a high-impact, high-visibility role where your pipelines and AI integrations will directly power smarter investment decisions across the firm.

What You’ll Build & Own

  • Design and deliver end-to-end, observable data pipelines and ingestion frameworks using Azure Data Factory and Microsoft Fabric with rock-solid data quality and governance
  • Build serverless, event-driven automation with Azure Function Apps and Logic Apps, including orchestration that connects AI services to live data flows
  • Own Infrastructure-as-Code end-to-end with Terraform across all environments
  • Architect and run CI/CD for both data and AI workloads using GitHub Actions and Harness
  • Embed Azure AI Services and Azure OpenAI into production workflows — document intelligence, embeddings, semantic search, prompt engineering, and AI-assisted data enrichment
  • Design and manage analytical workloads in Azure Synapse Analytics (Lakehouse patterns, dedicated SQL pools, Spark transformations)
  • Maintain hybrid/multi-cloud resilience by leveraging AWS services (S3, Glue, Lambda) for contingency pipelines
  • Keep existing production pipelines healthy while continuously modernizing the platform

What We’re Looking For

  • ~10 years of data engineering experience with deep cloud-native expertise
  • Expert-level hands-on skills with the full Microsoft Azure data stack: Azure Data Factory, Microsoft Fabric, Synapse Analytics, Logic Apps, and Function Apps
  • Strong Terraform + CI/CD experience (GitHub Actions + Harness)
  • Advanced SQL + Python (Python is critical for the AI/ML integration work we do)
  • Proven track record integrating Azure OpenAI or Azure AI Services into real data pipelines (REST APIs, embeddings, prompt engineering, AI-assisted processing)
  • Experience publishing data from ADF pipelines into SharePoint Lists using SharePoint Online REST APIs and OAuth
  • Working knowledge of AWS (S3, Glue, Lambda) sufficient to design and operate contingency/hybrid workflows

Why This Role Stands Out

  • Direct impact on enterprise-wide analytics transformation and intelligent automation
  • Work with cutting-edge Microsoft Fabric + Azure OpenAI in a production environment
  • True ownership — you design it, build it, deploy it, and see it drive real business outcomes
  • Collaborative, high-energy culture that values Integrity, Ability, and Energy
  • Competitive compensation, strong benefits, and real professional growth in a firm that actually builds enduring technology, not just invests in it

If you’re a senior Azure data engineer who wants to move beyond “just pipelines” and into intelligent, AI-powered platforms — and you have the Terraform, CI/CD, and Azure OpenAI experience to back it up — we want to talk.

Apply today and help us build the data platform that powers the future of the firm.

Apply