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Amazon Data Engineer Jobs in Seattle, WA (NOW HIRING)

Amazon

Data Engineer, Amazon Ads

Seattle, WA

$130K - $156K/yr

... Data Engineer who brings: - Deep SQL fluency and 3+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale - Hands-on depth with the Amazon data stack - Datanet ...

Amazon

Data Engineer, Amazon Ads

Seattle, WA

$130K - $156K/yr

... Data Engineer who brings: - Deep SQL fluency and 3+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale - Hands-on depth with the Amazon data stack - Datanet ...

Amazon

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

... Data Engineer who brings: - Deep SQL fluency and 3+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale - Hands-on depth with the Amazon data stack - Datanet ...

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Role Overview This role supports a compliance solutions team by combining data engineering and software engineering responsibilities. You will build data pipelines, backend services, and analytics ...

Amazon

Data Engineer II- AMZ26497.1

Seattle, WA · On-site

$144K - $178K/yr

Amazon Data Services, Inc. Position: Data Engineer II Location: Seattle, WA Multiple Positions Available: Design, develop, implement, test, document, and operate large-scale, high-volume, high ...

Amazon

Data Engineer III - AMZ10212104

Seattle, WA · On-site

$162K - $209K/yr

AMAZON DATA SERVICES, INC. Offered Position: Data Engineer III Job Location: Seattle, Washington Job Number: AMZ10212104 Position Responsibilities: Design, develop, implement, test, document, and ...

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All JobsAmazon Data Engineer JobsAmazon Data Engineer Jobs in Seattle, WA

Amazon Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do amazon data engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for amazon data engineer in Seattle, WA is $147,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon Data Engineer position, and why are they important?

To thrive as an Amazon Data Engineer, you need strong proficiency in data modeling, ETL development, SQL, and programming languages such as Python or Java, typically accompanied by a degree in computer science or a related field. Familiarity with AWS cloud services (like Redshift, S3, and Glue), big data tools, and relevant certifications such as AWS Certified Data Analytics are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-functional teams set standout candidates apart. These skills and qualities ensure data is accurately managed, integrated, and made accessible for analytics and business decisions in Amazon's complex environment.

What types of projects and data challenges do Amazon Data Engineers typically work on in their day-to-day roles?

As an Amazon Data Engineer, you can expect to work on projects involving the design, development, and maintenance of large-scale data pipelines and data warehouses. Common challenges include optimizing data flows for efficiency, handling massive and complex datasets, and ensuring data quality and integrity across various sources. You'll frequently collaborate with data scientists, analysts, and other engineering teams to create scalable solutions that support business intelligence and machine learning initiatives. The fast-paced environment provides opportunities to solve unique technical problems and drive data-driven decision-making across Amazon’s diverse businesses.

What is an Amazon Data Engineer job?

An Amazon Data Engineer is responsible for designing, building, and maintaining data infrastructure to support business intelligence and analytics. They work with large-scale datasets, optimize data pipelines, and ensure efficient data processing. Engineers collaborate with data scientists, analysts, and software teams to enable data-driven decision-making. Key skills include SQL, Python, ETL development, and experience with AWS services like Redshift, S3, and Glue.

What are the most commonly searched types of Amazon Data Engineer jobs in Seattle, WA? The most popular types of Amazon Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Amazon Data Engineer jobs in Seattle, WA? For Amazon Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Amazon Data Engineer jobs in Seattle, WA look for? The top searched job categories for Amazon Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Amazon Data Engineer jobs? Cities near Seattle, WA with the most Amazon Data Engineer job openings:
Amazon Data Engineer jobs near you
Infographic showing various Amazon Data Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $147,618 per year, or $71 per hour.
Data Engineer, Amazon Ads

Data Engineer, Amazon Ads

Amazon

Seattle, WA

$130K - $156K/yr

Full-time

Posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,010 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 3+ 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

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom

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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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