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Azure Data Engineer Salary Jobs (NOW HIRING)

Azure Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

Azure Data Engineer Location US # Positions 1 Experience (Years) 8 Category Information Technology Position Description At a Glance Legrand has an exciting opportunity for an Azure Data Engineer to ...

Azure Data Engineer

$56.25 - $69.75/hr

Position Description At a Glance Legrand has an exciting opportunity for an Azure Data Engineer to join our Information Technology Team. This is a remote position. Lead the design, development, and ...

Azure Data Engineer

$117K - $140K/yr

Azure Data Engineer Location : Remote Responsibilities: Designing cloud solutions, selecting appropriate Azure services, and optimizing resource utilization for high availability and performance ...

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 experienced data engineer to join our team. You will use various methods to transform raw data into useful ...

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 ...

Azure Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role: Azure Data Engineer Location: Bellevue, WA Duration: 6 months Azure Data Engineer Synapse; Fabric; SQL Server; Python; Azure Storage; ADF; Power Bi,Azure OpenAI Role Descriptions: Unified ...

Azure Data Engineer

Canonsburg, PA · Remote

$105K - $126K/yr

Azure Data Engineer Location US # Positions 1 Experience (Years) 8 Category Information Technology Position Description At a Glance Legrand has an exciting opportunity for an Azure Data Engineer to ...

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 ...

Position Overview We are seeking an experienced Azure Data Engineer to support the analysis, design, development, and ongoing support of a modern Azure-based data platform and data lake environment.

Azure Data Engineer

Weehawken, NJ · On-site

$124K - $149K/yr

Role: AZURE DATA ENGINEER Location: Weehawken, NJ - 5 days onsite (Need Local Candidates from NY, NJ) Client: Infosys/UBS Need PP no. as well !! Duration: 12 Months Experience: Need 10+ Years ...

Azure Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Position: Azure Data Engineer Location: Seattle, WA (Onsite) Employment Type: Full-Time We are looking for an experienced Azure Data Engineer with strong expertise in data warehousing, SQL ...

Azure Data Engineer

Fairfax, VA · On-site

$113K - $136K/yr

Description Plateau GRP is seeking an experienced Azure Data Engineer to support a major data modernization initiative for the Federal Deposit Insurance Corporation (FDIC). The selected candidate ...

Azure Data Engineer

Jersey City, NJ · On-site

$80 - $85/hr

Azure Data Engineer Location: Jersey City, NJ - Hybrid 07311 Duration: 12 months+ Summary: Designs and builds data solutions using Microsoft Azure technologies. Responsibilities : * Develop data ...

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Architect level experience using Azure Data Prep/Train tools: Azure Databricks (ADB), Azure Stream Analytics, * Developer experience using Azure Databases: SQL databases, SQL servers, Azure Synapse ...

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Azure Data Engineer Salary information

See salary details

$44.5K

$129.7K

$177.5K

How much do azure data engineer salary jobs pay per year?

As of Jun 14, 2026, the average yearly pay for azure data engineer salary 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 are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need a strong background in data engineering, database management, and cloud computing, typically supported by a degree in computer science or a related field. Expertise with Microsoft Azure services (such as Azure Data Factory, Azure SQL Database, and Azure Databricks), proficiency in SQL, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are commonly required. Strong problem-solving abilities, communication skills, and attention to detail help set you apart in collaborative and dynamic environments. These skills ensure efficient data solutions, secure data management, and effective support for business intelligence and analytics initiatives.

What engineer makes $500,000 a year?

An Azure Data Engineer typically does not earn $500,000 annually; such high salaries are rare and usually reserved for executive-level roles or highly specialized professionals with extensive experience, advanced certifications, and leadership responsibilities. Most data engineers earn significantly less, with top-tier salaries reaching six figures in competitive markets.

Is Azure data engineer a good career?

Azure Data Engineer is a growing role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, ETL processes, and familiarity with tools like Azure Data Factory and SQL. The role offers strong job demand and competitive salaries, making it a viable career choice for those interested in cloud data management.

What engineers make $300,000 a year?

Senior Azure Data Engineers with extensive experience, advanced certifications, and expertise in cloud architecture can earn salaries approaching or exceeding $300,000 annually, especially in high-demand markets. Such roles often require strong skills in data modeling, cloud security, and tools like Azure Data Factory and Databricks, along with leadership responsibilities.

What are some typical challenges Azure Data Engineers face when working with large-scale data migration projects?

Azure Data Engineers often encounter challenges such as ensuring data integrity, minimizing downtime, and managing performance when migrating large datasets to the cloud. Coordinating with cross-functional teams—like database administrators, network engineers, and business analysts—is crucial to align expectations and requirements. Additionally, configuring Azure services for scalability and optimizing data pipelines for speed and reliability are key components of the role. Staying updated on Azure’s evolving tools and best practices also helps to address these challenges effectively.

What is the difference between Azure Data Engineer Salary vs Data Analyst Salary?

AspectAzure Data Engineer SalaryData Analyst Salary
Required CredentialsAzure certifications, SQL, Python, cloud skillsExcel, SQL, Tableau, basic programming
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech, finance, healthcare, cloud providers

Azure Data Engineers typically earn higher salaries than Data Analysts due to advanced technical skills, cloud expertise, and the complexity of data engineering tasks. While both roles involve data handling, Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, leading to higher demand and compensation.

What is the average salary of an Azure Data Engineer?

The average salary of an Azure Data Engineer varies based on location, experience, and organization but typically ranges from $100,000 to $140,000 per year in the United States. Entry-level Azure Data Engineers often start around $90,000, while those with several years of experience or advanced certifications can earn upwards of $150,000 annually. Factors such as industry, company size, and additional skills (like data warehousing or machine learning) can also influence salary ranges.

How much do Azure data engineers make?

Azure Data Engineers typically earn a salary ranging from $80,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Salaries tend to increase with expertise in cloud services, data modeling, and tools like Azure Data Factory and SQL Server.
Infographic showing various Azure Data Engineer Salary job openings in the United States as of June 2026, with employment types broken down into 21% Full Time, 66% Part Time, and 13% Contract. 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.
Azure Data Engineer

Azure Data Engineer

Legrand AV, Inc.

Eden Prairie, MN • Remote

$116K - $140K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Azure Data Engineer
Location US
# Positions 1
Experience (Years) 8
Category Information Technology
Position Description

At a Glance

Legrand has an exciting opportunity for an Azure Data Engineer to join our Information Technology Team. This is a remote position.

Lead the design, development, and optimization of enterprise data platforms on Azure. This role will be instrumental in advancing our data modernization strategy, including Azure Fabric adoption, data lakehouse architecture, and integration of enterprise systems such as ERP, MDM, and analytics platforms.

This role will work closely with business, analytics, and governance teams to deliver scalable, high-performance data solutions that enable trusted, data-driven decision-making.

What Will You Do?

    Design and implement scalable data platforms using Azure (ADLS, Azure SQL, Microsoft Fabric).
  • Build and optimize ETL/ELT pipelines using Fabric pipelines, notebooks (PySpark/Spark SQL), and Azure Integration Services (ADF, Logic Apps, Event Grid, Service Bus).
  • Implement Medallion Architecture (Bronze, Silver, Gold) and Lakehouse design patterns.
  • Develop and maintain data models (dimensional, star/snowflake where applicable).
  • Integrate data from heterogeneous sources (ERP, APIs, flat files, streaming sources, MDM/PIM systems).
  • Develop data processing solutions for large-scale structured and unstructured datasets.
  • Enable Power BI datasets and semantic models to support reporting and analytics.
  • Implement CI/CD pipelines and DevOps practices using Azure DevOps, GitHub, Repo.
  • Ensure data quality, governance, lineage, and security using tools such as Microsoft Purview.
  • Collaborate with Product Owners, Scrum Masters, and stakeholders to translate business requirements into technical solutions.
  • Lead performance tuning, optimization, and troubleshooting of data pipelines and queries.
  • Leading cloud migration and modernization initiatives, including legacy system transitions (SSIS, Tabular, Multidimensional cubes).
  • Drive adoption of modern data architecture principles and best practices.
  • Collaborate with team members and contribute to establishing engineering standards and reusable frameworks.
  • Provide ongoing production support and operational maintenance, including monitoring data pipelines, troubleshooting issues, optimizing performance, and ensuring data reliability and availability across the platform.
  • Ability to manage multiple priorities effectively.
  • Support data team in the IT systems impact assessment when there is a data change requests.
Qualifications
  • Experience with Data management systems and processes:
    • 8+ years of experience in data engineering, data warehousing, and analytics
    • 6+ years of experience in cloud transformation initiatives
    • 5+ years hands-on experience with Microsoft Azure data platform
    • 3+ years hands-on experience with Azure Fabric / lakehouse architecture
  • Azure Data Platform:
    • Azure Data Lake Storage (ADLS Gen2)
    • Azure Data Factory (ADF)
    • Azure Fabric
    • Azure SQL Database / Data Warehouse
  • Strong experience with Azure Integration Services:
    • Logic Apps, Function Apps, Service Bus, Event Grid, API Management
  • Programming:
    • PySpark, Spark SQL, Python, SQL
    • Notebook-based development (Databricks / Fabric)
    • Infrastructure-as-code (Terraform, ARM templates, Bicep)
  • Data Architecture:
    • Medallion architecture
    • Lakehouse concepts
    • 3NF, Data warehouse, Dimensional modeling
  • Integration:
    • REST APIs, JSON, XML, OData, event-driven architectures
  • DevOps:
    • Azure DevOps (ADO), GitHub, Jenkins
    • CI/CD pipelines, version control, automation
  • Reporting:
    • Power BI, Semantic Models
  • MSBI (Preferred):
    • Microsoft BI Stack - SSIS, SSRS, SSAS
  • Soft Skills:
    • Strong communication and ability to engage with business and technical stakeholders
    • Ability to translate business requirements into scalable technical solutions
    • Strong analytical and problem-solving skills
    • Experience working in Agile/Scrum environments
    • Proactive and adaptable, with the ability to deliver results in evolving environments
      with a "get it done" mindset in fast-paced environments
    • Proven ability to collaborate across cross-functional teams
    • Demonstrates excellent interpersonal skills with a balanced, collaborative communication style
    • Experience with 3rd party development partners

Education:

  • Bachelor's degree required, preferably in technical discipline
  • Prefer Microsoft certifications in Azure or Fabric
  • Prefer Prior experience in manufacturing, supply chain, or distribution domains
Company Info

About Legrand

Legrand is the global specialist in electrical and digital building infrastructures. Our comprehensive offering of solutions for residential, commercial, and data center markets makes us a benchmark for customers worldwide. We harness technological and societal trends with lasting impacts on buildings with the purpose of improving life by transforming the spaces where people live, work, and meet with electrical and digital infrastructures and connected solutions that are simple, innovative, and sustainable. Legrand is a global, publicly traded company listed on the Euronext (Legrand SA EPA: LR). For more information, visit www.legrandgroup.com/en

About Legrand North and Central America

Legrand, North & Central America (LNCA) is a leader in the AV, Lighting & Controls, Electrical, and Data Center markets. LNCA offers comprehensive medical, dental, and vision coverage, as well as distinctive benefits like a high employer 401K match, paid time off (PTO) and holiday pay, short-term and long-term disability benefit plans, above-benchmark paid maternity and parental leave, bonus opportunities in accordance with the Company's incentive plans, paid time off to volunteer, and an active/growing Employee Resource Group network. For more information, visit legrand.us

http://www.legrand.us

http://www.youtube.com/legrandna

http://www.linkedin.com/company/44580

http://twitter.com/legrandNA

Equal Opportunity Employer