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Amazon Data Warehouse Jobs in Arizona (NOW HIRING)

Sarian, Inc.

Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow 6) Knowledge of Airflow and CI/CD pipelines 7) Exposure to data visualization tools such as Looker, PowerBI ...

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

RTA Fleet

Database Engineer/Architect

Glendale, AZ · On-site

$155K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data warehousing: Amazon Redshift, and familiarity with alternatives like Snowflake or Databricks * Data lake technologies: Amazon S3 as a data lake foundation, AWS Glue (ETL and data catalog ...

Ron Turley Associates LLC

Database Engineer/Architect

Glendale, AZ · On-site

$155K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data warehousing: Amazon Redshift, and familiarity with alternatives like Snowflake or Databricks * Data lake technologies: Amazon S3 as a data lake foundation, AWS Glue (ETL and data catalog ...

SAP

Data and AI Solution Advisor

Tempe, AZ · On-site

Design end-to-end data modernization architectures spanning data fabric, data warehousing ... Amazon Web Services, Palantir, or Informatica. * Proven track record of leading customer-facing ...

Forhyre

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

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All JobsAmazon Data Warehouse JobsAmazon Data Warehouse Jobs in Arizona

Amazon Data Warehouse information

See Arizona salary details

$23.3K

$117.3K

$159.4K

How much do amazon data warehouse jobs pay per year?

As of Aug 13, 2026, the average yearly pay for amazon 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 are the key skills and qualifications needed to thrive as an Amazon Data Warehouse professional?

To excel as an Amazon Data Warehouse professional, you need strong SQL skills, data modeling experience, and a solid understanding of cloud data warehousing concepts, often backed by a degree in computer science or a related field. Familiarity with Amazon Redshift, AWS services (such as S3 and Glue), ETL tools, and related certifications like AWS Certified Data Analytics are highly valuable. Analytical thinking, attention to detail, and effective communication are essential soft skills for translating business requirements into scalable data solutions. These capabilities ensure efficient data management, high-quality analytics, and seamless collaboration with stakeholders in a dynamic, cloud-based environment.

What are some common challenges faced by professionals working in Amazon Data Warehouse roles, and how can they be addressed?

Professionals in Amazon Data Warehouse roles often encounter challenges related to managing large-scale data integration, ensuring data quality, and optimizing query performance. Handling vast and diverse datasets requires efficient ETL (Extract, Transform, Load) pipelines and a solid understanding of AWS services like Redshift, S3, and Glue. Collaboration with data engineers, analysts, and stakeholders is essential to align data models with business requirements. Staying updated with the latest AWS features and best practices, along with continuous learning, can help address these challenges and contribute to successful project outcomes.

What is an Amazon Data Warehouse?

An Amazon Data Warehouse refers to a cloud-based storage system provided by Amazon Web Services (AWS) that is designed to store, manage, and analyze large volumes of structured and semi-structured data. The most popular solution is Amazon Redshift, which allows businesses to run complex queries and generate reports quickly. Data warehouses on AWS are scalable, cost-effective, and integrate with a wide range of data analytics tools, making them ideal for big data analytics and business intelligence operations.
What are popular job titles related to Amazon Data Warehouse jobs in Arizona? For Amazon Data Warehouse jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Amazon Data Warehouse jobs in Arizona look for? The top searched job categories for Amazon Data Warehouse jobs in Arizona are:
Amazon Data Warehouse jobs near you
Infographic showing various Amazon Data Warehouse job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,280 per year, or $56.4 per hour.

Data Engineer

Sarian, Inc.

Phoenix, AZ • On-site

$111K - $133K/yr

Full-time

Re-posted 28 days ago

Job description

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 Platform (GCP) tools such as Big Query, Cloud Storage, Dataproc, Dataflow, Pub/Sub, and Bigtable
4) Experience with big data technologies such as Hadoop, Spark, Hive, Kafka etc
5) Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow
6) Knowledge of Airflow and CI/CD pipelines
7) Exposure to data visualization tools such as Looker, PowerBI, Tableau etc
Roles & Responsibilities
• Design, develop, and maintain data architectures and infrastructure
• Collaborating with cross-functional teams to understand complex data requirements and deliver efficient solutions
• Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
• Monitor, troubleshoot, and improve the performance and reliability of data systems.
• Monitor BigQuery usage and manage cost-effective scaling of resources.
• Develop and maintain data models to support analytics and reporting

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