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Sr Azure Data Engineer Jobs in Arizona (NOW HIRING)

Phoenix Staff

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... Design, build, and maintain ETL/ELT pipelines using Azure Data Factory and related tools.

Troon

Data Engineer

Scottsdale, AZ

$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 ...

Pwc

Data Engineer - Senior Associate

Phoenix, AZ · On-site

$77K - $202K/yr

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

Troon Golf

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 ...

Troon

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

They are seeking a highly motivated Data Engineer to design, build, and maintain scalable data integration pipelines within the Azure ecosystem, ensuring high-quality data flows that support ...

Smart Synergies

Data Engineering Lead

Glendale, AZ · On-site

Azure certifications, such as Azure Data Engineer Associate or Azure Solutions Architect Expert. Experience with implementing data lakehouse architectures. Familiarity with data governance frameworks ...

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

ADELANTE HEALTHCARE INC

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

It requires strong proficiency in SQL and Python, as well as deep experience with Azure data services such as Synapse, Data Factory, Logic Apps, and Microsoft Fabric. The Data Engineer is responsible ...

Dlapiper

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor, troubleshoot, and optimize data pipelines for performance and reliability. * Contribute to data quality ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$104K - $125K/yr

Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor, troubleshoot, and optimize data pipelines for performance and reliability. * Contribute to data quality ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Utilize Azure DevOps and Git for source control, deployments, and CI/CD processes. * Monitor, troubleshoot, and optimize data pipelines for performance and reliability. * Contribute to data quality ...

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All JobsSr Azure Data Engineer JobsSr Azure Data Engineer Jobs in Arizona

Sr Azure Data Engineer information

What is a Sr Azure Data Engineer?

A Sr Azure Data Engineer is an experienced professional who designs, builds, and manages data solutions using Microsoft Azure's cloud platform. They focus on creating scalable data pipelines, integrating data from various sources, and ensuring data quality and security. Senior Azure Data Engineers often work with technologies like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, and they collaborate with data scientists and business analysts to support data-driven decision-making. Their expertise helps organizations leverage cloud-based data architectures for improved performance and scalability.

What are some typical challenges Sr Azure Data Engineers face when managing large-scale cloud data solutions?

Sr Azure Data Engineers often encounter challenges such as optimizing data pipelines for performance and cost efficiency, ensuring data security and compliance in cloud environments, and integrating diverse data sources across on-premises and cloud systems. Additionally, they may need to troubleshoot complex data flow issues and stay updated with rapidly evolving Azure services. Collaborating closely with data scientists, architects, and business stakeholders is also essential to deliver scalable, business-focused solutions.

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

To excel as a Sr Azure Data Engineer, you need expertise in data modeling, ETL processes, cloud data architectures, and a strong command of SQL and programming languages, typically complemented by a degree in computer science or a related field. Proficiency with Azure services such as Azure Data Factory, Databricks, Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving abilities, collaboration, and effective communication set standout professionals apart in this role. These skills ensure the efficient design, implementation, and maintenance of scalable data solutions that meet business needs.
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Sr Azure Data Engineer jobs near you
Infographic showing various Sr Azure Data Engineer job openings in Arizona as of July 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution.

Mid-Senior Data Engineer

Phoenix Staff

Phoenix, AZ • Hybrid

$100K - $115K/yr

Full-time

Re-posted 5 hours ago

Job description

Job Title: Data Engineer (Mid-Level to Senior)

Location: Hybrid / Onsite as needed (project-dependent)

Salary: $100,000 - $115,000


We are partnering with an organization seeking a skilled Data Engineer to support the design, build, and optimization of a modern data platform. This role focuses on developing scalable data pipelines and infrastructure that power analytics, reporting, and AI initiatives. The ideal candidate is comfortable working across Fabric and the modern Microsoft data stack (e.g., Azure Data Factory, Azure Data Lake Storage, Azure SQL Database / Managed Instance, Cosmos DB, etc.) and enjoys solving complex data transformation and integration challenges in a collaborative environment.


Your role:

  • Design, build, and maintain ETL/ELT pipelines using Azure Data Factory and related tools.
  • Architect and manage data lake and data warehouse solutions.
  • Transform and move data across relational, NoSQL, and object storage systems.
  • Collaborate with engineering and product teams to define data requirements and solutions.
  • Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
  • Ensure data quality and integrity across systems.
  • Document data flows, schemas, and architecture decisions.
  • Contribute to data platform strategy and ongoing improvements.


What you’ve got:

  • 3+ years of experience for mid-level candidates; 6+ years for senior-level candidates.
  • Strong experience with Azure Data Factory or similar ETL/ELT tools.
  • Solid understanding of database design (relational modeling, normalization/denormalization).
  • Experience with data lakes and/or data warehouses (Azure Data Lake, Microsoft Fabric, etc.).
  • Experience transforming structured, semi-structured, and unstructured data.
  • Proficiency in SQL and experience with Azure SQL Database and/or Azure SQL Managed Instance.
  • Familiarity with Azure data services and the Microsoft data ecosystem.
  • Strong problem-solving skills and ability to work both independently and collaboratively.


Preferred:

  • Experience with Cosmos DB or other NoSQL platforms.
  • Knowledge of KQL and Azure Monitor / Data Explorer.
  • Experience with object storage and file-based data architectures.
  • Exposure to analytics or data science tools (Databricks, Azure ML, etc.).
  • Understanding of data governance, lineage, and cataloging best practices.


To find more great tech-centric jobs, please visit www.phoenixstaff.com