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Data Warehouse Developer Jobs in Arizona (NOW HIRING)

Principle Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

This is a technical role that involves defining changes to the warehouse data model and building ... release, DevOps, CI/CD pipeline. * Team player, Strong communication and collaboration skills.

... 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 ...

... 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 ...

... 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 ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

... 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 ...

... 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 ...

... 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 ...

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

Responsibilities : • Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD • Bachelor's degree in Computer Science, Engineering or related field • 5+ years ...

Business Intelligence (BI) Developer GCON - Data Team About GCON GCON is building the future of ... As you grow, you'll help drive our evolution toward a modern data warehouse (Snowflake / dbt) and ...

Business Intelligence (BI) Developer GCON -- Data Team About GCON GCON is building the future of ... As you grow, you'll help drive our evolution toward a modern data warehouse (Snowflake / dbt) and ...

Business Intelligence (BI) Developer GCON Data Team About GCON GCON is building the future of ... As you grow, you'll help drive our evolution toward a modern data warehouse (Snowflake / dbt) and ...

Data Modeling / Data warehouse Designing concepts * Informatica Cloud * Data warehousing concepts and BI architecture * Different scripting languages * Azure DevOps Skills in: * Expertise in ETL data ...

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Adobe AEP engineer Job Location: Phoenix, AZ Job Type: Contract * Adobe Experience Platform AEP ... Experience in designing and building Data Warehouse and Data lakes good knowledge of data warehouse ...

Hi, Please share the resume at abhic@vensoft.com Senior Informatica Developer - Phoenix, AZ Key ... Data Warehouse & Dimensional Data Modeling * Salesforce connectors and database conversion * REST ...

New

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Build and optimize data models and data warehouses. * Integrate data from multiple sources into ... Knowledge of DevOps and Infrastructure as Code. Soft Skills * Excellent analytical and problem ...

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Data Warehouse Developer information

See Arizona salary details

$12

$50

$67

How much do data warehouse developer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data warehouse developer in Arizona is $50.72, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $60.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Warehouse Developer, and why are they important?

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

What are some common challenges Data Warehouse Developers face when integrating data from multiple sources?

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

What are Data Warehouse Developers?

Data Warehouse Developers are IT professionals who design, build, and maintain data warehouse systems that consolidate and organize data from multiple sources. They create data models, develop extraction, transformation, and loading (ETL) processes, and ensure data integrity and optimal performance for analytics and reporting. Their work supports business intelligence efforts by making large volumes of data accessible and useful for decision-making.

What Is a Data Warehouse Developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

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

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

What are popular job titles related to Data Warehouse Developer jobs in Arizona? For Data Warehouse Developer jobs in Arizona, the most frequently searched job titles are:
Infographic showing various Data Warehouse Developer job openings in Arizona as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,493 per year, or $50.7 per hour.
Principle Data Engineer

Principle Data Engineer

EXL Service

Phoenix, AZ • On-site

$113K - $136K/yr

Full-time

Re-posted 10 days ago


ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

117th of 451 rated business services


Job description

Company Overview and Culture
EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.
For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses.
Required Skills:
Python, Pyspark/Spark, SQL, Data Lake (ON Prem or cloud) AWS, Snowflake.
Job Summary:
The Data Engineer's role is to play a lead role in developing a high-performance data platform, integrating data from a variety of internal and external sources, in order to support data and analytics activities. This is a technical role that involves defining changes to the warehouse data model and building scalable and efficient processes to populate or modify warehouse data. The successful candidate will have hands-on data processing and data modeling experience in cloud and on-prem environments.
Responsibilities:
  • Be a technical lead in the development of high-volume platforms to drive decisions and have a tangible beneficial impact on our clients and on business results.
  • Design and implement efficient data pipelines (ETLs) in order to integrate data from a variety of sources into Data Warehouse.
  • Design and implement data model changes that align with warehouse standards.
  • Design and implement backfill or other warehouse data management processes.
  • Develop and execute testing strategies to ensure high quality warehouse data.
  • Provide documentation, training, and consulting for data warehouse users.
  • Perform requirement and data analysis in order to support warehouse project definition.
  • Provide input and feedback to support continuous improvement in team processes.
  • Experience in working both, On-Prem and Cloud (AWS preferred).
  • Responsible for leading the team onsite and off shore with technical leadership and guidance.

Qualifications:
  • 5+ years in a Data Engineering role
  • 7+ years hands on experience with SQL:
    • Ability to write/ interpret SQL and Complex Joins/ Queries
    • Execution plan and SQL optimization (Oracle SQL Profiler)
  1. o 3+ years coding experience (Python and/or PySpark).
  2. o 3+ years hands on experience with big data and cloud technologies (Snowflake, EMR, Redshift, or similar technologies) is highly preferred
    • Schema design and architecture on snowflake
    • Architecture and design experience with AWS cloud
    • AWS services expertise: S3, RDS, EC2, ETL services (Glue, Kinesis)
    • Consumption layer design experience for reporting and dashboard
  • Expert level understanding and experience of ETL fundamentals and building efficient data pipelines.
  • 3+ years at least - Enterprise GitHub - branch, release, DevOps, CI/CD pipeline.
  • Team player, Strong communication and collaboration skills.
  • Experience with Agile methodologies.
  • Master's Degree (or a B.S. degree with relevant industry experience) in math, statistics, computer science, or equivalent technical field.
EEO/Minorities/Females/Vets/Disabilities
Please be aware that EXL requires all employees to be vaccinated for COVID-19. This position will require the successful candidate to obtain and show proof of a vaccination. EXL is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.
Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy.

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