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Freelance Microsoft Azure Data Engineer Jobs in Arizona

Designing Microsoft Azure Infrastructure Solutions Preferred Certification: * AZ-500 Azure Security Engineer Associate * AZ-700 Azure Network Associate * DP-700 Fabric Data Engineer Associate Job ...

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.

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

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 ...

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 ...

... 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

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 ...

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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Freelance Microsoft Azure Data Engineer information

What does a freelance Microsoft Azure Data Engineer do?

A Freelance Microsoft Azure Data Engineer designs, builds, and manages data solutions using Microsoft Azure cloud services. They are responsible for creating and maintaining data pipelines, integrating various data sources, and ensuring the reliability, security, and scalability of data systems. These engineers work on projects such as data migration, real-time analytics, and data warehousing, often collaborating with clients to tailor solutions to specific business needs. As freelancers, they typically handle multiple clients or projects and are expected to stay current with Azure's evolving technologies.

What are the key skills and qualifications needed to thrive as a freelance Microsoft Azure Data Engineer?

To thrive as a Freelance Microsoft Azure Data Engineer, you need expertise in data engineering, SQL, data modeling, and a solid understanding of cloud computing, often supported by a relevant degree and Azure certifications. Familiarity with Microsoft Azure services (such as Azure Data Factory, Databricks, and Synapse Analytics), data pipeline tools, and scripting languages like Python or Scala is typically required. Strong problem-solving, communication, and project management skills help you deliver effective solutions and collaborate with diverse clients. These skills ensure you can design, implement, and maintain scalable data solutions that meet business needs in dynamic freelance environments.

What are some common challenges faced by freelance Microsoft Azure Data Engineers when working with multiple clients?

Freelance Microsoft Azure Data Engineers often encounter challenges such as adapting quickly to different data architectures and security requirements across various clients. Balancing multiple projects can require excellent time management, as each client may use different Azure services, data sources, and deployment strategies. Additionally, freelancers must stay up-to-date with evolving Azure tools and best practices to provide effective solutions. Strong communication skills are essential for collaborating remotely with diverse teams and ensuring alignment on project goals and timelines.

What is the difference between Freelance Microsoft Azure Data Engineer vs Freelance AWS Data Engineer?

AspectFreelance Microsoft Azure Data EngineerFreelance AWS Data Engineer
CertificationsAzure Data Engineer Associate, Azure certificationsAWS Certified Data Analytics, AWS certifications
Work EnvironmentAzure cloud platform, Microsoft ecosystemAWS cloud platform, Amazon ecosystem
Industry UsageOrganizations using Microsoft Azure infrastructureOrganizations using Amazon Web Services infrastructure
Common Search/ComparisonClients seeking Azure-specific data solutionsClients seeking AWS-specific data solutions

The main difference between a Freelance Microsoft Azure Data Engineer and a Freelance AWS Data Engineer lies in the cloud platform specialization. Azure Data Engineers focus on Microsoft Azure services and certifications, working primarily with organizations that utilize Microsoft ecosystems. Conversely, AWS Data Engineers specialize in Amazon Web Services, catering to clients using AWS infrastructure. Both roles require similar data engineering skills but differ in platform expertise and industry usage.

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 Freelance Microsoft Azure Data Engineer jobs in Arizona?

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

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

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

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

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

Azure Data Engineer (Microsoft Fabric Specialist)

ConglomerateIT LLC

Phoenix, AZ • On-site

$113K - $136K/yr

Contractor

Posted 4 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.