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Data Warehouse Engineer Jobs in Arizona (NOW HIRING)

Phoenix Staff

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

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 ...

DBM GLOBAL INC

Data Warehouse DBA

Phoenix, AZ

... of data warehouses, web-based applications as well as client server applications by using ... Partner with other DBAs and/or Developers to write and maintain databases according to ...

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site +1

$106K - $145K/yr

Design, build, and optimize scalable data pipelines, models, and warehouse architecture across ... Partner closely with the Principal Data Engineer, team lead, and cross-functional stakeholders to ...

Terros Health

Senior Data Engineer - Central

Phoenix, AZ · On-site

$105K - $143K/yr

... Data Warehouse structures to support analytics, reporting, and operational workflows. • ... engineering tools, technologies, and best practices and recommends and drives adoption where ...

Axon

Senior Data Engineer II (Hybrid)

Scottsdale, AZ · On-site

$106K - $145K/yr

Design, build, and optimize scalable data pipelines, models, and warehouse architecture across ... Partner closely with the Principal Data Engineer, team lead, and cross-functional stakeholders to ...

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Familiarity with dimensional modeling and data warehouse concepts. * Experience integrating REST ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Familiarity with dimensional modeling and data warehouse concepts. * Experience integrating REST ...

Kimley-Horn

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Familiarity with dimensional modeling and data warehouse concepts. * Experience integrating REST ...

Kimley-Horn

Data Engineer

Phoenix, AZ

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Familiarity with dimensional modeling and data warehouse concepts. * Experience integrating REST ...

Dlapiper

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support ...

kestra

Senior Data Platform Engineer

Tempe, AZ

$109K - $131K/yr

Expertise in data engineering and data warehousing, consistently delivering enterprise-grade solutions. * Proven ability to lead and coordinate data initiatives across cross-functional and matrixed ...

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Showing results 21-40

All JobsData Warehouse Engineer JobsData Warehouse Engineer Jobs in Arizona

Data Warehouse Engineer information

See Arizona salary details

$80.6K

$117.9K

$149.6K

How much do data warehouse engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data warehouse engineer in Arizona is $117,883.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,800.00 and $127,200.00 per year, depending on experience, location, and employer.

What is a data warehouse engineer?

Data Warehouse Engineers are IT professionals who design, build, and maintain systems used for storing and analyzing large volumes of data. They create data models, implement ETL (Extract, Transform, Load) processes, and ensure data integrity and optimized performance within the data warehouse environment. Their work enables organizations to efficiently store data from various sources and make it accessible for business intelligence and analytics. Data Warehouse Engineers often collaborate with data analysts, data scientists, and database administrators to support informed decision-making.

What is the difference between Data Warehouse Engineer vs Data Analyst?

AspectData Warehouse EngineerData Analyst
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning, building, maintaining data warehouses; working with ETL toolsAnalyzing data, creating reports, visualizations
Industry UsageUsed in organizations managing large-scale data infrastructureUsed across industries for business insights and decision-making

While both roles work with data, Data Warehouse Engineers focus on building and maintaining data storage systems, whereas Data Analysts interpret data to generate insights. They often collaborate but have distinct technical and functional responsibilities.

What are some common challenges data warehouse engineers face when integrating data from multiple sources?

Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and incomplete or duplicate records when integrating information from diverse systems. Addressing these issues requires careful planning, robust ETL (Extract, Transform, Load) processes, and close collaboration with source system owners and data analysts. Additionally, ensuring data quality and maintaining up-to-date documentation are crucial to support efficient troubleshooting and future scalability.

What are the key skills and qualifications needed to thrive as a data warehouse engineer?

To thrive as a Data Warehouse Engineer, you need expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft SQL Server, Oracle, Informatica, and cloud platforms such as AWS Redshift or Google BigQuery, as well as certifications in these technologies, are valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and address data challenges efficiently. These skills ensure the reliable integration, storage, and retrieval of high-quality data, which is critical for business intelligence and decision-making.
What are popular job titles related to Data Warehouse Engineer jobs in Arizona? For Data Warehouse Engineer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Warehouse Engineer jobs in Arizona look for? The top searched job categories for Data Warehouse Engineer jobs in Arizona are:
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What are popular job titles related to Data Warehouse Engineer jobs in AZ? For Data Warehouse Engineer jobs in AZ, the most frequently searched job titles are:
Data Warehouse Engineer jobs near you
Infographic showing various Data Warehouse Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,883 per year, or $56.7 per hour.

Mid-Senior Data Engineer

Phoenix Staff

Phoenix, AZ • Hybrid

$100K - $115K/yr

Full-time

Re-posted 4 days 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