Data Engineer Jobs in Seattle, WA
Data Engineer jobs in Seattle, Washington are in strong demand, concentrated in South Lake Union, Bellevue, and the Eastside tech corridor across cloud computing, e-commerce, and healthcare analytics. Employers hiring right now include Amazon, TikTok, and ByteDance. Find a role that fits below and apply directly.
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DESCRIPTION
Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale.
As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, Hive, and Spark. We build scalable solutions that grow with the Amazon business.
Key job responsibilities
As an Amazon.com Data Engineer II you will be working in one of the world's largest cloud-based data lakes. You should be skilled in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
As a Data Engineer II on Amazon.com’s Business Data Technologies team, design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and deep learning. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and Big data tools. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.
About the team
At BDT, We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, Hive, and Spark. We build scalable solutions that grow with the Amazon business.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $132,100.00 - $178,800.00 USD annually
DESCRIPTION
Amazon’s eCommerce Foundation (eCF) organization is responsible for the core components that drive the Amazon website and customer experience. Serving millions of customer page views and orders per day, eCF builds for scale.
As an organization within eCF, the Business Data Technologies (BDT) group is no exception. We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, Hive, and Spark. We build scalable solutions that grow with the Amazon business.
Key job responsibilities
As an Amazon.com Data Engineer II you will be working in one of the world's largest cloud-based data lakes. You should be skilled in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
As a Data Engineer II on Amazon.com’s Business Data Technologies team, design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and deep learning. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes leveraging AWS technologies and Big data tools. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture. Analyze source data systems and drive best practices in source teams. Participate in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance. Produce comprehensive, usable dataset documentation and metadata. Evaluate and make decisions around dataset implementations designed and proposed by peer data engineers. Evaluate and make decisions around the use of new or existing software products and tools. Mentor junior data engineers.
About the team
At BDT, We collect petabytes of data from thousands of data sources inside and outside Amazon including the Amazon catalog system, inventory system, customer order system, page views on the website and Alexa systems. We also support Amazon subsidiaries such as IMDB and Audible. We provide interfaces for our internal customers to access and query the data hundreds of thousands of times per day, using Amazon Web Service’s (AWS) Redshift, Hive, and Spark. We build scalable solutions that grow with the Amazon business.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: $132,100.00 - $178,800.00 USD annually
See All 152+ Data Engineer Jobs in Seattle
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Find Data Engineer JobsData Engineer Job Market in Seattle
Who's Hiring
- Amazon50
- TikTok15
- ByteDance11
- Amazon Web Services10
- Blue Origin5
Top Industries Hiring
- Technology & Software19
- Retail10
- E-Commerce & Online Marketplaces10
- Electronics & Hardware3
- Science & Research1
Data Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a data engineer job in Seattle?
The strongest path into a Seattle data engineer role is targeting the city's dominant sectors: cloud infrastructure, e-commerce platforms, and health tech. Jobs concentrate in South Lake Union, the Eastside corridor, and Bellevue. Candidates who stand out here typically show hands-on experience with large-scale pipeline work, cloud-native tools such as Spark or Databricks, and familiarity with the distributed systems architecture common among Seattle's major tech employers.
Which companies hire data engineers in Seattle?
Employers hiring data engineers in Seattle right now include Amazon, TikTok, and ByteDance, based on current listings on Migrate Mate as of September 2026. Seattle's hiring mix leans heavily toward established tech companies and fast-growing cloud and health-tech firms, alongside a smaller but active layer of fintech startups and retail analytics teams.
Are there remote data engineer jobs in Seattle?
Yes, data engineering is one of the more remote-compatible technical roles given its analytical and code-driven nature. About 53% of data engineer openings tied to Seattle are remote or hybrid as of September 2026, reflecting how broadly Seattle employers have adopted flexible arrangements. Pipeline design, transformation logic, and cloud infrastructure work tend to be the most remote-friendly tasks within these roles.
How can I get a data engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is moving into a junior or associate data engineering role through a related analytics or data science position. Seattle's health tech companies and mid-size cloud startups in South Lake Union regularly hire entry-level engineers willing to work on data quality and pipeline tooling. Building a portfolio with public datasets, contributing to open-source data tools, and getting comfortable with SQL and Python gives candidates a concrete edge in local interviews.
Which industries hire the most data engineers in Seattle?
The sectors hiring the most data engineers in Seattle are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of September 2026. Seattle's position as a global hub for cloud platforms and e-commerce operations means these sectors generate unusually high and sustained demand for engineers who can build and maintain production-grade data systems.
Related Jobs in Washington
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