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Amazon Data Warehouse Jobs (NOW HIRING)

Amazon

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

... data warehouse, ETL pipelines, and reporting layer - Build the tools - architect and operate ... across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean ...

Amazon

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

... data warehouse, ETL pipelines, and reporting layer - Build the tools - architect and operate ... across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean ...

Amazon

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Do you have experience ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

Amazon

Data Analyst, ReLo

Reading, PA · On-site

... an Amazon ReLo warehouse inorder to identify data-driven solutions and automations. - Work with quality leadership team to improve standards and identify defects in the operation. BASIC ...

Salesforce.Com Inc

Principal Data Engineer

Chicago, IL · On-site

... Amazon data lakes, multiple Salesforce orgs, Informatica MDM, and graph databases. A key success ... Collaborate with other Data and Application Architects to ensure the data warehouse model aligns ...

Prophecy Technologies

Data Warehouse Lead

Jersey City, NJ · On-site

$19 - $24.25/hr

Hands-on experience with Amazon Aurora PostgreSQL. * Strong SQL performance tuning skills ... Leadership capability in data warehouse initiatives. * Ability to work onsite and collaborate ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

... Amazon Business team, you will be working in one of the world's largest cloud-based data lakes You should be skilled in the architecture of Enterprise data warehouse solutions using multiple ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

... Amazon Business team, you will be working in one of the world's largest cloud-based data lakes You should be skilled in the architecture of Enterprise data warehouse solutions using multiple ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

... Amazon Business team, you will be working in one of the world's largest cloud-based data lakes. You should be skilled in the architecture of Enterprise data warehouse solutions using multiple ...

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Amazon Data Warehouse information

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$25K

$125.9K

$171K

How much do amazon data warehouse jobs pay per year?

As of Jun 21, 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.

How much do Amazon data centers pay?

Salaries for roles at Amazon data centers vary depending on the position, experience, and location, but generally range from $40,000 to $120,000 annually. Data center jobs often require technical skills such as network management, hardware maintenance, and certifications like CompTIA or Cisco. Entry-level positions tend to pay on the lower end, while specialized roles with experience and certifications can command higher salaries.

How much does Amazon pay warehouse workers?

Amazon warehouse workers typically earn an average hourly wage of around $15 to $20, depending on location and experience. The company offers competitive pay, along with benefits such as health insurance and opportunities for overtime. Wages may vary based on shift, role, and regional labor markets.

What is Amazon's data warehouse?

Amazon's data warehouse refers to Amazon Redshift, a fully managed cloud data warehouse service that allows organizations to analyze large datasets using SQL and integrate with other AWS tools. Data warehouse roles often require knowledge of SQL, data modeling, and cloud computing environments.

Are Amazon data entry jobs real?

Amazon data entry jobs are legitimate positions that involve inputting and managing data within Amazon's systems or related warehouses. These roles typically require attention to detail, computer skills, and sometimes familiarity with data management tools. Applicants should be cautious of scams and verify job postings through official Amazon channels.
More about Amazon Data Warehouse jobs
What cities are hiring for Amazon Data Warehouse jobs? Cities with the most Amazon Data Warehouse job openings:
What states have the most Amazon Data Warehouse jobs? States with the most job openings for Amazon Data Warehouse jobs include:
What job categories do people searching Amazon Data Warehouse jobs look for? The top searched job categories for Amazon Data Warehouse jobs are:
Amazon Data Warehouse jobs near you
Infographic showing various Amazon Data Warehouse job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.
Data Engineer, Amazon Ads

Data Engineer, Amazon Ads

Amazon

New York, NY

$125K - $150K/yr

Full-time

Posted 17 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,872 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

This is a ground-up, greenfield build - Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.
What we're building:
- A finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) - the team building the next generation of agentic AI advertising products
- Pipelines and models that turn raw data into decisions for greenfield products
- Self-service reporting that scales spanning Engineering, Science, PM-T, and Design across multiple AI native advertising products
This is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.
We're looking for a senior Data Engineer who brings:
- Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale
- Hands-on depth with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)
- Strong dimensional data modeling judgment - fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision
- Python (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL
- A willingness to set the bar - define data quality, lineage, SLA, and reliability standards for the org and hold the line on them
- The ability to operate in ambiguity - turn open-ended finance and program questions into durable data products with minimal scoping help
- Excitement about leading the data partnership with Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows
- AI-native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent
Key job responsibilities
- Own it end-to-end - set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer
- Build the tools - architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth
- Land the data - integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer
- Move fast - deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive asks with bias for action
- Simplify complexity - turn messy, multi-source data into well-documented dimensional models that scale with the org
- Raise the bar - drive code and design reviews and set data quality and pipeline reliability standards

What Amazon employees say

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Benefits

Hours and flexibility

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Get the full story on Breakroom

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About Amazon

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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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