Data Engineer Jobs in Washington
Data Engineer jobs in Washington are among the most active in the country, with strong demand concentrated in cloud infrastructure, machine learning pipelines, and enterprise analytics across technology, aerospace, healthcare, and retail sectors, with openings at every level from entry-level through senior and staff. Seattle anchors the bulk of hiring, followed by Redmond and Bellevue, where companies like Microsoft, Amazon, and Boeing maintain large data engineering teams with consistent recruiting pipelines. The most in-demand specialties in Washington are cloud data platform engineering, real-time streaming systems, and analytics engineering tied to dbt and Spark workflows. 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 Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Data Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon49
- TikTok11
- ByteDance8
- Amazon Web Services8
- Meta4
Top Industries Hiring
- Technology & Software17
- Retail9
- E-Commerce & Online Marketplaces9
- Electronics & Hardware3
- Science & Research1
What Washington Employers Look For
The qualifications that appear most often in data engineer jobs across Washington.
- Bachelor's degree in computer science, engineering, or a related quantitative field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Hands-on experience with cloud data platforms including AWS, Azure, or Google Cloud
- Demonstrated ability to build and maintain scalable ETL or ELT data pipelines
- Familiarity with distributed processing frameworks such as Apache Spark or Kafka
- Experience with data warehousing solutions like Snowflake, Redshift, or Azure Synapse
Data Engineer Jobs in Washington: Frequently Asked Questions
How do you become a data engineer in Washington?
Data engineering in Washington requires no state-issued license or registration, so the path runs through education and demonstrated technical skills. Most Washington employers expect a bachelor's degree in computer science, information systems, or a related field, though bootcamp graduates and self-taught candidates are regularly hired when they can show a strong portfolio. Building projects on cloud platforms that Washington employers use heavily, particularly AWS and Azure, and earning vendor certifications in those environments meaningfully strengthens an application.
Which companies hire data engineers in Washington?
Employers hiring data engineers in Washington right now include Amazon, TikTok, and ByteDance, based on current listings on Migrate Mate as of September 2026. Washington's concentration of large technology and cloud-native companies means many of these roles involve global-scale data infrastructure and modern lakehouse architectures.
Which Washington cities have the most data engineer jobs?
Seattle, Bellevue, and Redmond account for the largest share of data engineer openings in Washington. Seattle leads because of its dense cluster of technology headquarters and cloud division offices, while Redmond and Bellevue generate substantial volume from Microsoft's campus and the large enterprise technology firms that have built operations near it.
Are there remote data engineer jobs in Washington?
Yes, and more than most fields. About 59% of data engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting how thoroughly the role centers on cloud environments and collaborative tooling rather than physical infrastructure. Pipeline development, data modeling, and analytics engineering work are the tasks most commonly performed fully remotely.
How can I get hired as a data engineer in Washington with little or no experience?
The most realistic entry point is an analytics engineer or junior data analyst role at a Washington technology or retail company, where SQL-heavy work creates a natural bridge into pipeline engineering. Amazon, Microsoft, and major Seattle-area health systems like Providence and UW Medicine run new-graduate and rotational programs that place candidates into data teams without requiring prior industry experience. Building a public portfolio of pipeline projects using Spark or dbt, paired with an Azure or AWS cloud practitioner credential, consistently gives Washington applicants an edge when competing against candidates with comparable academic backgrounds.
Where can I find and apply to data engineer jobs in Washington?
You can find and apply to data engineer jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search the listings, find roles that match your background and location, and apply directly from each posting.
See All 152+ Data Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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