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Amazon Data Warehouse Jobs (NOW HIRING)

EchoStar

Senior Data Warehouse Engineer

Englewood, CO · On-site

$96.25K - $137.50K/yr

... like Amazon Q for pipeline optimization * Participate in shift-based working hours and on-call ... large Enterprise Data Warehouses Skills and Qualifications: * Advanced proficiency in Shell ...

Seven Seven Software

Data Engineer

Newark, NJ · On-site

$119.70K - $143.80K/yr

Experience implementing, supporting data lakes, data warehouses and data applications on AWS for ... Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)

EchoStar

Senior Data Warehouse Engineer

Englewood, CO

$96.25K - $137.50K/yr

... like Amazon Q for pipeline optimization * Participate in shift-based working hours and on-call ... large Enterprise Data Warehouses Skills and Qualifications: * Advanced proficiency in Shell ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $190K/yr

Configure data warehouse platforms - Redshift with Zero-ETL from Aurora, Snowflake with Snowpipe ... Amazon SageMaker for ML training, Model Registry, and inference * AWS HealthLake, FHIR R4 ...

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How much do amazon data warehouse jobs pay per year?

As of May 31, 2026, the average yearly pay for amazon data warehouse in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Data Warehouse professional, and why are they important?

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.
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Amazon Data Warehouse jobs near you
Sr Business Intelligence Engineer, CLS Technology

Sr Business Intelligence Engineer, CLS Technology

Amazon

Bellevue, WA

$57.50 - $74.75/hr

Full-time

Posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,795 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast. Have you wondered where it came from and how much it cost Amazon to deliver it to you. If so, the Amazon Logistics, Last Mile team is for you.

We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner.
We are hiring a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data

We are still in the nascent stage so it is an exciting opportunity to be involved from design-to-execution. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.
The team's success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills

This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you will have broad skills in data mining, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.
This role is cross-functional - you will work closely with partners in Product Management, Training and Program Management to design and deliver data needs. You are comfortable working in a dynamic, start-up environment, and seek data-driven decision-making

You have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.
Key job responsibilities
- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.
- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon's data resources and know how, when, and which to use.
- Estimate models, write analyses, and extract insights and provide business recommendations.
- 10-20% travel per quarter.
About the team
We serve AMZL's Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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