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Director 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 Engineer 3625215

Charlotte, NC · On-site

$103K - $140K/yr

Design, build, and maintain scalable data engineering solutions using Microsoft Azure technologies. * Develop and optimize data pipelines that support enterprise reporting, analytics, and downstream ...

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 ...

Data Engineer - CTH

Fort Worth, TX · On-site

$38 - $45/hr

The ideal candidate will have strong hands-on experience with Microsoft Azure, data engineering, SQL, Python/Spark, and modern data pipelines. What You'll Do * Design, develop, and support scalable ...

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

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

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 ...

$88K - $106K/yr

The role has a strong focus on the Microsoft Azure data ecosystem and modern cloud-based data ... Opportunity to work on scalable, production-focused data solutions with direct business impact.

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 ...

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

Jersey City, NJ · On-site

$125K - $150K/yr

Azure Data Engineer: * 10+ years of strong experience in a large & complex application development environment, last 2 projects in investment banking or financial services industry and on data-heavy ...

Showing results 41-60

Director Microsoft Azure Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Aug 16, 2026, the average yearly pay for director 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 Director Microsoft Azure Data Engineer vs Data Engineer?

AspectDirector Microsoft Azure Data EngineerData Engineer
CertificationsAzure Data Engineer Associate, Azure Solutions ArchitectAzure Data Engineer Associate, other cloud certifications
Work EnvironmentLeadership, strategic planning, overseeing teamsHands-on data pipeline development, coding, data modeling
ResponsibilitiesDesigning data strategies, managing projects, team leadershipBuilding data pipelines, data integration, database management
Industry UsageUsed in organizations with cloud data strategies, leadership rolesUsed across industries for data processing and analytics

The main difference is that the Director Microsoft Azure Data Engineer focuses on strategic leadership, project management, and overseeing data engineering teams within Azure cloud environments. In contrast, Data Engineers are primarily involved in the technical execution of data pipelines, coding, and data management tasks. Both roles require Azure certifications, but the director role emphasizes leadership and planning, while the data engineer role emphasizes technical skills.

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Data Engineer

THE PRUITT GROUP LLC

New Orleans, LA • On-site

$110K - $132K/yr

Contractor

Re-posted 17 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.