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Senior Microsoft Azure Data Engineer Jobs in Arizona

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... Experience with data lakes and/or data warehouses (Azure Data Lake, Microsoft Fabric, etc.

... Microsoft's cloud strategy. Our engineering team consults with our project management team and ... Defines data management and governance practices to ensure the accuracy, security, and compliance ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake ...

... Engineering, or Data Migration * Strong SQL skills with Azure SQL Database, Azure SQL Managed ... Microsoft SQL Server * Azure Cosmos DB or other NoSQL databases * Kusto Query Language (KQL)

Data Engineer

Scottsdale, AZ · On-site

$80 - $100/hr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Digital : Microsoft Azure

Phoenix, AZ · On-site

$63 - $82.25/hr

We are seeking an experienced Azure Cosmos DB Developer with deep expertise in designing ... Define and implement data modeling strategies, partition key design, indexing policies, and data ...

Data Engineer

Scottsdale, AZ · On-site

$100 - $125/hr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

The Data Engineer designs, builds, and maintains scalable data integration pipelines and architectures within the Azure ecosystem, enabling the ingestion, transformation, and promotion of data across ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform ... Design, develop, and maintain cloud-native data pipelines using Databricks, Microsoft Azure Data ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Strong experience with SQL, Microsoft SQL Server and T-SQL development. * Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools. * Experience programming with ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Strong experience with SQL, Microsoft SQL Server and T-SQL development. * Experience developing ETL/ELT pipelines using Azure Data Factory or similar integration tools. * Experience programming with ...

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Senior Microsoft Azure Data Engineer information

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.

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 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 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 most commonly searched types of Microsoft Azure Data Engineer jobs in Arizona?

The most popular types of Microsoft Azure Data Engineer jobs in Arizona are:

What are popular job titles related to Senior Microsoft Azure Data Engineer jobs in Arizona?

For Senior Microsoft Azure Data Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Senior Microsoft Azure Data Engineer jobs in Arizona look for?

The top searched job categories for Senior Microsoft Azure Data Engineer jobs in Arizona are:

What cities in Arizona are hiring for Senior Microsoft Azure Data Engineer jobs?

Cities in Arizona with the most Senior Microsoft Azure Data Engineer job openings:

Azure Data Engineer (Microsoft Fabric Specialist)

ConglomerateIT LLC

Phoenix, AZ • On-site

$113K - $136K/yr

Contractor

Posted 5 days ago


Job description

Azure Data Engineer – Microsoft Fabric
Location: Remote, with occasional travel to Phoenix, AZ (Phoenix-based candidates strongly preferred)

The Opportunity

We're building a next-generation analytics platform on Microsoft Fabric and need an engineer who already lives inside that ecosystem. You'll own the move to a unified SaaS analytics environment and shape how raw data becomes enterprise-ready insight — working across OneLake, Lakehouses, and PySpark notebooks to deliver architectures that scale and perform.

What You Bring

Must-Have

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a comparable technical discipline
  • 3+ years in Azure Data Engineering, including a minimum of 1 year of direct, hands-on work in Microsoft Fabric
  • Advanced skills in SQL, Python, and PySpark
  • Strong working knowledge of Fabric Lakehouse, Dataflows Gen2, Shortcuts, and Fabric Notebooks
  • Proven background with the classic Azure data toolset: Azure Data Factory (ADF), Azure Synapse Analytics, and ADLS Gen2
  • Solid grounding in Kimball data warehousing, dimensional modeling, and Delta Lake frameworks

What You'll Do

Platform & Pipelines

  • Architect and roll out end-to-end data engineering solutions across the Fabric stack — OneLake, Lakehouses, Warehouses, and Streamhouses
  • Build and maintain scalable ETL/ELT pipelines with Fabric Data Factory, Pipelines, and Dataflows Gen2
  • Author complex, tuned transformation logic in PySpark, Spark SQL, and Python inside Fabric Notebooks
  • Stand up a Medallion Architecture (Bronze/Silver/Gold) in OneLake on Delta Lake formats, supporting Delta Live Tables

Performance & Analytics

  • Drive query and pipeline performance through file partitioning strategy, indexing, and workspace capacity management
  • Build and refine Fabric Semantic Models so Power BI reporting runs fast and integrates cleanly

Security & Delivery

  • Apply enterprise-grade controls via Fabric RBAC, Azure Key Vault, Managed Identities, and Microsoft Purview for metadata lineage
  • Set up CI/CD using Git integration and Azure DevOps to automate promotion across dev, test, and production

Founded in 2014, ConglomerateIT is a global leader in delivering innovative IT solutions and services. Headquartered in the USA with a presence in the UK, Canada, and India, we specialize in offering industry-leading expertise and cutting-edge products that help our clients maximize their technological investments. Our focus on best-in-class solutions, a highly knowledgeable team, and proactive talent mapping ensure we remain at the forefront of the IT industry.

ConglomerateIT is driven by our Center for Excellence and Innovation, an initiative dedicated to keeping us ahead in a rapidly evolving technology landscape. We understand that building strong relationships is key to our success, and this commitment has enabled us to partner with Fortune 500 companies and leading system integrators worldwide. Our ability to provide local talent on a global scale ensures that we can meet the contingent project requirements of our clients efficiently and effectively.