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Data Warehouse Jobs in Arizona (NOW HIRING)

Design, build, and maintain data pipelines that integrate CRM platforms (e.g., Salesforce, Siebel, Microsoft Dynamics, Pega) with the enterprise data warehouse. * Develop and maintain Customer 360 ...

Big data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

The role involves working with big data technologies and cloud data warehouses to design and develop data solutions. Qualifications : Required : • Big Data Engineer with mapreduce, spark, hive, sql ...

Data Engineer

Phoenix, AZ · On-site

$75 - $125/hr

Design and implement data models in cloud warehouses (Snowflake, BigQuery or Redshift). * Ingest data from diverse sources: APIs, databases, event streams and flat files. * Ensure data quality ...

Data Modeler

Phoenix, AZ · On-site +1

$54.25 - $70.50/hr

Data Warehouse * Azure Service Fabric * Git * Jenkins * UCD * Data governance, lineage & metadata * Query performance, indexing & partitioning

Data Modeler

Phoenix, AZ · On-site +1

$54.25 - $70.50/hr

Strong Data Modeling experience ERwin 3NF Data Modeling Conceptual, Logical & Physical Data Models Data Warehouse Azure Service Fabric Git Jenkins UCD Data governance, lineage & metadata * Q uery ...

Data Modeler

Phoenix, AZ · On-site

$95 - $130/hr

Data Warehouse * Azure Service Fabric * Git * Jenkins * UCD * Data governance, lineage & metadata * Query performance, indexing & partitioning #J-18808-Ljbffr

Google Cloud Platform Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Phoenix, AZ Duration: Long Term Contract Expert in SQL and Data warehousing concepts. Hands-on experience with public cloud data warehouse (Google Cloud Platform, Azure, AWS). Must have Java ...

Data Engineer II (ICP)

Scottsdale, AZ · On-site

$110 - $145/hr

JOB SUMMARYThe Data Engineer II ICP designs, develops, codes, implements, and supports Integration processes and Data Warehouse activities. Data Engineer II works closely with the business and ...

Data Engineer II (ICP)

Scottsdale, AZ · Hybrid

$115K - $138K/yr

JOB SUMMARY The Data Engineer II ICP designs, develops, codes, implements, and supports Integration processes and Data Warehouse activities. Data Engineer II works closely with the business and ...

Showing results 21-40

Data Warehouse information

See Arizona salary details

$23.3K

$117.3K

$159.4K

How much do data warehouse jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data warehouse in Arizona is $117,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,700.00 and $149,100.00 per year, depending on experience, location, and employer.

What is a data warehouse?

A data warehouse is a centralized repository designed to store, manage, and analyze large volumes of structured data from multiple sources. It enables organizations to consolidate data, making it easier to generate reports, perform analytics, and make data-driven decisions. Data warehouses are optimized for read-heavy operations and complex queries, supporting business intelligence and long-term historical analysis. They differ from traditional databases by focusing on analytical processing rather than day-to-day transaction processing.

What are the qualifications to get a data warehouse job?

The qualifications to get a data warehouse job differ by position and level of responsibility. To be a data entry worker or data clerk, you typically need a high school diploma and some technical competency, such as familiarity with spreadsheets or other simple data entry systems. To be a data warehouse architect or developer, you typically need a bachelor’s degree in information technology or computer science, and strong technical skills, including data analysis and programming in SQL and other database and server languages. Familiarity with proprietary software and hardware from companies such as Oracle is also important.

What are the key skills and qualifications needed to thrive as a data warehouse professional, and why are they important?

To excel as a Data Warehouse professional, you need a solid grasp of database design, ETL (extract, transform, load) processes, SQL, and data modeling, often supported by a degree in computer science or a related field. Familiarity with data warehouse tools such as Microsoft SQL Server, Oracle, Informatica, and cloud platforms like AWS Redshift or Google BigQuery is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret business requirements and collaborate with stakeholders. These competencies ensure accurate, scalable data solutions that drive informed business decisions.

What are the common challenges faced by professionals working in data warehouse roles, and how can they be addressed?

Professionals in Data Warehouse roles often encounter challenges such as integrating data from diverse sources, ensuring data quality and consistency, and optimizing query performance. Addressing these issues typically involves close collaboration with data engineers, database administrators, and business analysts to establish clear data governance standards and implement robust ETL (Extract, Transform, Load) processes. Staying up to date with the latest data warehousing technologies and regularly monitoring system performance also help in overcoming these challenges, resulting in more reliable and efficient data storage and retrieval.

What is the difference between Data Warehouse vs Data Analyst?

AspectData WarehouseData Analyst
Primary RoleStores and manages large volumes of data for analysisAnalyzes data to generate insights and reports
Required SkillsDatabase management, ETL processes, SQL, data modelingData analysis, visualization, SQL, Excel
Work EnvironmentData centers, cloud platforms, IT teamsBusiness units, analytics teams, reporting tools
Common CertificationsCertified Data Management Professional (CDMP), Microsoft Certified: Data Analyst AssociateMicrosoft Certified: Data Analyst Associate, Google Data Analytics Certificate

While a Data Warehouse focuses on storing and organizing data for analysis, a Data Analyst interprets that data to provide actionable insights. Both roles often collaborate but serve different functions within data management and analysis workflows.

Is data warehouse a good career?

A career as a data warehouse professional involves designing, developing, and maintaining data storage systems that support business intelligence and analytics. It requires skills in SQL, ETL processes, and familiarity with tools like Snowflake or Redshift. The role offers strong job growth, competitive salaries, and opportunities across various industries.

What does a data warehouse do?

A data warehouse is a system used by data warehouse professionals to store, organize, and analyze large volumes of structured data from multiple sources. It enables efficient querying and reporting, supporting business intelligence and decision-making processes. Data warehouse roles often require knowledge of database tools, ETL processes, and data modeling.

What skills are needed for data warehousing?

Data warehouse professionals need strong skills in SQL, data modeling, and ETL (Extract, Transform, Load) processes. Knowledge of database management systems, data integration tools, and familiarity with cloud platforms like AWS or Azure are also important. Additionally, analytical thinking and problem-solving skills are essential for designing efficient data solutions.

What are the most commonly searched types of Data Warehouse jobs in Arizona?

The most popular types of Data Warehouse jobs in Arizona are:

What cities in Arizona are hiring for Data Warehouse jobs?

Cities in Arizona with the most Data Warehouse job openings:

Infographic showing various Data Warehouse job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $117,280 per year, or $56.4 per hour.

CRM DATA ANALYST-BANKING

Infini-Tek

Arizona City, AZ • On-site

Other

Posted 13 days ago


Job description

Key Responsibilities
  • Design, build, and maintain data pipelines that integrate CRM platforms (e.g., Salesforce, Siebel, Microsoft Dynamics, Pega) with the enterprise data warehouse.
  • Develop and maintain Customer 360 views by consolidating data from core banking systems, CRM, and other source systems.
  • Write and optimize complex SQL queries, stored procedures, and ETL/ELT workflows to support reporting, analytics, and campaign management.
  • Support dimensional data modeling (star/snowflake schemas, Slowly Changing Dimensions) for customer, product, and relationship data.
  • Ensure data quality, lineage, and governance standards are met, particularly for PII and regulated customer data.
  • Collaborate with business teams (marketing, relationship managers, compliance, risk) to translate requirements into data solutions.
  • Troubleshoot data discrepancies between CRM and EDW systems and drive root-cause resolution.
Requirements
Required Qualifications
Experience
  • Demonstrated hands-on experience working at the intersection of CRM systems and EDW/data warehouse platforms.
  • Banking experience mandatory
Technical Skills
  • Strong proficiency in SQL (complex joins, window functions, query performance tuning).
  • Experience with ETL/ELT tools (e.g., Informatica, Talend, SSIS, dbt).
  • Experience with enterprise data warehouse platforms (e.g., Teradata, Snowflake, Oracle Exadata, Redshift).
  • Working knowledge of CRM platforms (Salesforce, Siebel, Microsoft Dynamics, Pega, or similar).
  • Understanding of dimensional data modeling concepts (star/snowflake schema, SCDs).
Soft Skills
  • Strong stakeholder management and ability to translate business requirements into technical/data solutions.
  • Excellent verbal and written communication skills, including presenting insights to non-technical audiences.
  • Analytical mindset with strong attention to detail and problem-solving skills.

Preferred Qualifications
  • Exposure to campaign management or marketing analytics driven by CRM-EDW integration.
  • Experience with cloud data platforms (AWS, Azure, Google Cloud Platform) and modern data stack tools.