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Evening Microsoft Azure Data Engineer Jobs (NOW HIRING)

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key ... Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold ...

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Required Skills and Experience * 8+ years of overall experience in data engineering / data architecture. * 4+ years of hands-on experience as a Data Architect on Microsoft Azure. * Strong expertise ...

Azure Data Engineer Associate (DP-203) o Microsoft Azure Fundamentals (AZ-900) or equivalent foundational Azure knowledge is required at a minimum.' * Alteryx Conversion: Familiarity with Alteryx ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key ... Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold ...

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 ...

Senior Azure Data Engineer

Addison, TX · On-site

$102K - $139K/yr

Required Skills 5+ years of hands-on data engineering experience in the Microsoft Azure ecosystem. Strong SQL and data modeling fundamentals. Production experience with Azure Data Factory, Azure ...

Azure Data Engineer

$117K - $140K/yr

Azure Data Engineer Location: Remote We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable data solutions in Azure. The role involves working with data pipelines ...

Azure Data Engineer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...

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 ...

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

... 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 ...

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Senior Data Engineer Location: Remote JD: Key Responsibilities * Design and implement ETL pipelines ... Strong expertise in: o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks) o Azure ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Showing results 41-60

Evening Microsoft Azure Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 12, 2026, the average yearly pay for evening microsoft azure data engineer 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 Evening Microsoft Azure Data Engineer vs Evening Data Analyst?

AspectEvening Microsoft Azure Data EngineerEvening Data Analyst
CertificationsAzure Data Engineer Associate, Microsoft Certified: Data Analyst Associate
Work EnvironmentCloud platforms, data pipelines, infrastructure management
Primary FocusDesigning and implementing data solutions on Azure
Tools & TechnologiesAzure Data Factory, Azure SQL, Spark, Python

While both roles involve working with data, the Evening Microsoft Azure Data Engineer focuses on building and managing data infrastructure on Azure, whereas the Evening Data Analyst interprets data to generate insights. The Data Engineer handles data pipelines and cloud services, while the Data Analyst emphasizes data visualization and reporting.

More about Evening Microsoft Azure Data Engineer jobs
What cities are hiring for Evening Microsoft Azure Data Engineer jobs? Cities with the most Evening Microsoft Azure Data Engineer job openings:
What are the most commonly searched types of Microsoft Azure Data Engineer jobs? The most popular types of Microsoft Azure Data Engineer jobs are:
What states have the most Evening Microsoft Azure Data Engineer jobs? States with the most job openings for Evening Microsoft Azure Data Engineer jobs include:
What job categories do people searching Evening Microsoft Azure Data Engineer jobs look for? The top searched job categories for Evening Microsoft Azure Data Engineer jobs are:
Infographic showing various Evening Microsoft Azure Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

THE PRUITT GROUP LLC

New Orleans, LA • On-site

$110K - $132K/yr

Contractor

Re-posted 12 days ago


Job description

We are looking for a talented and driven Data Engineer with strong expertise in Azure Data Factory and other Microsoft technologies to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining data pipelines, integration solutions, and data-centric applications. Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key to optimizing data processing, storage, and analysis.

Responsibilities:

  1. Design and Develop Data Pipelines: Partner with cross-functional teams to gather data requirements and create robust, scalable, and reliable data pipelines using Azure Data Factory and other Microsoft tools, ensuring high data quality.

  2. Data Integration: Consolidate data from diverse sources—including databases, APIs, and third-party platforms—into centralized data lakes or warehouses utilizing Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and related technologies.

  3. Data Transformation: Execute data transformation and cleansing processes to prepare data for analysis, reporting, and business intelligence applications.

  4. Data Modeling: Develop and implement data models and schemas that align with business needs and industry standards, promoting efficient data access for end-users and applications.

  5. Optimization and Performance Tuning: Regularly monitor and fine-tune data pipelines and processing tasks to enhance performance, reduce latency, and ensure accurate, timely data delivery.

  6. Data Security and Compliance: Enforce data security protocols, including encryption and access controls, to protect sensitive information and maintain compliance with data privacy regulations.

  7. Troubleshooting and Issue Resolution: Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold system performance and data accuracy.

  8. Collaboration and Documentation: Collaborate with data scientists, analysts, and other stakeholders to address data needs, while maintaining thorough documentation of pipelines, models, and integration workflows.

  9. Cloud Infrastructure Management: Oversee Azure cloud resources, monitor usage, and apply best practices for cost-effective infrastructure management.

  10. Continuous Learning and Improvement: Keep abreast of the latest Azure Data Factory developments and Microsoft technologies, integrating best practices and innovative solutions to continually enhance data engineering processes.

Requirements:

  1. A Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
  2. Demonstrated experience as a Data Engineer with a strong emphasis on Microsoft technologies, especially Azure Data Factory.
  3. Advanced skills in SQL, data modeling, and working with database platforms such as Azure SQL Database, Azure Synapse Analytics, and Cosmos DB.
  4. Hands-on experience designing and developing data pipelines using Azure Data Factory or comparable ETL/ELT tools.
  5. Solid understanding of cloud-based data storage and processing solutions within the Microsoft Azure ecosystem.
  6. Knowledge of data warehousing principles and data integration methodologies.
  7. Proficiency in programming languages like Python, C#, or Java for data manipulation and automation purposes.
  8. Familiarity with data security protocols and compliance standards related to data management.
  9. Strong analytical and problem-solving abilities with a keen attention to detail.
  10. Excellent communication and collaboration skills, capable of working effectively within cross-functional teams.
  11. Relevant Microsoft certifications (e.g., Azure Data Engineer Associate) are preferred.
  12. Experience with Microsoft Fabric is a plus but not required.