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Data Warehouse Engineer Jobs in Arizona (NOW HIRING)

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 ...

21Tech

ETL Developer

Glendale, AZ · On-site

$50.75 - $66.50/hr

... Developer ... This position will support the City's enterprise data warehouse modernization initiative by ...

Conch Technologies Inc

Data Analyst

Tempe, AZ · On-site

... Engineering, or Data Migration * Strong SQL skills with Azure SQL Database, Azure SQL Managed ... Data Lakes & Data Warehousing * Data Governance, Metadata Management, and Data Lineage Key ...

TriWest Healthcare

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Summary The Data Engineer will be responsible for design and development of ETL. The role will ... Strong knowledge of data warehouse design; data modeling; proficiency with SQL; strong experience ...

Globe Telecom, Inc.

Data Governance Manager

Globe, AZ · On-site

Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or related degree ... warehouse or data management projects * Certification in relevant database and business ...

vTech Solution

Senior Informatica Developer

Phoenix, AZ · On-site

Data warehousing concepts and BI architecture * Different scripting languages * Azure Devops Skills in: * Expertise in ETL data management areas such as ETL and database architecture and design, data ...

XTG

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Build and support data ingestion frameworks using Microsoft Fabric, Lakehouse/Warehouse architecture, SQL, and cloud-based data engineering patterns. Develop and maintain Bronze, Silver, and Gold ...

Globe Telecom, Inc.

Data Quality Manager

Globe, AZ · On-site

... data warehouse, MDM, and data integration initiatives Level of Knowledge * Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or related degree * Certification in ...

Sarian, Inc.

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

JD: Technical/Functional Skills 1) Strong proficiency in SQL and database technologies 2) Familiarity with data warehousing and data modelling concepts 3) Hands-on experience with Google Cloud ...

NucleusTeq

Software Developer

Phoenix, AZ · Hybrid

... data warehouse architecture; developing detailed low- level and high-level design documents for software components, utilizing UML diagrams such as class, object, activity, state, and sequence ...

Globe Telecom, Inc.

Data Engineer

Globe, AZ · On-site

$108K - $130K/yr

As a data engineer, you're at the forefront of the data movement, bridging the gap between raw ... Support in designing data pipelines, data lakes, warehouses, and machine learning solutions to ...

Nucleusteq

Software Developer

Phoenix, AZ · On-site

... data warehouse architecture; developing detailed low- level and high-level design documents for software components, utilizing UML diagrams such as class, object, activity, state, and sequence ...

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Showing results 41-60

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.
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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.

Senior Data Platform Engineer

kestra

Tempe, AZ

$109K - $131K/yr

Full-time

Re-posted 29 days ago

Job description

Lead with Purpose. Partner with Impact. 

We are seeking a seasoned Databricks Data Engineer with expertise in Azure cloud services and the Databricks Lakehouse platform. The role involves designing and optimizing large-scale data pipelines, modernizing cloud-based data ecosystems, and enabling secure, governed data solutions. Strong skills in SQL, Python, PySpark, ETL/ELT frameworks, and experience with Delta Lake, Unity Catalog, and CI/CD automation are essential.

What you’ll Do:

  • Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform, ensuring reliability, scalability, and governance.
  • Modernize the Azure-based data ecosystem, contributing to cloud architecture, distributed data engineering, data modeling, security, and CI/CD automation.
  • Utilize Apache Airflow and similar tools for orchestration and workflow automation.
  • Work with financial or regulated datasets, applying strong compliance and governance practices.
  • Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks notebooks.
  • Design and optimize Delta Lake data models for reliability, performance, and scalability.
  • Implement and manage Unity Catalog for RBAC, lineage, governance, and secure data sharing.
  • Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables.
  • Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems.
  • Automate API ingestion and workflows using Python and REST APIs.
  • Support data governance, lineage, cataloging, and metadata initiatives.
  • Enable downstream consumption for BI, data science, and application workloads.
  • Write optimized SQL/T-SQL queries, stored procedures, and curated datasets for reporting.
  • Automate deployments, DevOps workflows, testing pipelines, and workspace configuration.

 

What You Bring: 

  • 8+ years of experience designing and developing scalable data pipelines in modern data warehousing environments, with full ownership of end-to-end delivery.
  • 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 organizations.
  • Advanced proficiency in SQL, Python, and ETL/ELT frameworks, including performance tuning and optimization.
  • Hands-on experience with Azure, Snowflake, and Databricks, and integration with enterprise systems.

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