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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 ...

First Citizens Bank

$66.75 - $89.25/hr

Design and implement data lakes, data warehouses, and hybrid architectures. Lead the adoption of ... AWS Data Services * Amazon S3 * Data Lake and Lakehouse architectures * Cloud-native data ...

First Citizens Bank

$66.75 - $89.25/hr

Design and implement data lakes, data warehouses, and hybrid architectures. Lead the adoption of ... AWS Data Services * Amazon S3 * Data Lake and Lakehouse architectures * Cloud-native data ...

Pwc

Data Engineer - Manager

Phoenix, AZ · On-site

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

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 ...

Forhyre

Data Engineer

Phoenix, AZ · On-site

$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 ...

American Express

Senior Data Engineer I

Phoenix, AZ

$105K - $143K/yr

... GCP) , including Amazon RDS, Aurora, DynamoDB, Cloud SQL, BigQuery, Bigtable, MongoDB Atlas ... Experience designing and supporting OLTP , OLAP , data warehouse, data mart, and Big Data platforms.

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Amazon Data Warehouse information

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$23.3K

$117.3K

$159.4K

How much do amazon data warehouse jobs pay per year?

As of Aug 25, 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 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 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.

Does Amazon have a data warehouse?

Amazon offers a data warehouse service called Amazon Redshift, which is widely used for large-scale data analytics and business intelligence. As an Amazon Data Warehouse professional, familiarity with Redshift and cloud-based data management tools is essential for managing and optimizing data storage solutions.

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 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $117,280 per year, or $56.4 per hour.

Data Engineer

Phoenix, AZ • On-site

Sarian, Inc.
See more jobs at Sarian, Inc.external

$111K - $133K/yr

Full-time

Re-posted 11 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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