Sales Engineer Jobs in Seattle, WA
Sales Engineer jobs in Seattle, Washington are concentrated in South Lake Union, the Eastside corridor near Bellevue and Redmond, and the Denny Triangle, across cloud infrastructure, enterprise software, and industrial technology. Employers hiring right now include Cribl, Cyera, and Meter. See the openings below and apply to the ones that match your experience.
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DESCRIPTION
SDS is part of the Sales Intelligence, Technology, & Enablement organization (SITE). We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing , fast APIs and agentic soutions. Our data platform is designed to serve Sales teams across WW Advertising orgs for various applications including business processes, ML, account management, marketing, and decisioning systems.
Key job responsibilities
- Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift.
- Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting
- Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
- Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
- Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results.
- Mentor other engineers, influence positively team culture, and help grow the team.
A day in the life
You will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineerings, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- 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.
USA, NY, New York - 145,300.00 - 196,600.00 USD annually
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually
DESCRIPTION
SDS is part of the Sales Intelligence, Technology, & Enablement organization (SITE). We are a big-data focused engineering team that provides unique, pan-Amazon datasets consolidating advertiser, seller, and vendor KPIs, exposed via data warehousing , fast APIs and agentic soutions. Our data platform is designed to serve Sales teams across WW Advertising orgs for various applications including business processes, ML, account management, marketing, and decisioning systems.
Key job responsibilities
- Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift.
- Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting
- Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
- Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
- Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results.
- Mentor other engineers, influence positively team culture, and help grow the team.
A day in the life
You will work closely with the Business Intelligence Engineers, Data Scientists, Product Managers, Software Development teams and other business stakeholders on many unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage. You should be able to gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. As a DE, you will be regularly mentoring junior engineerings, developing technical your leadership, and contributing to the design and implementation of highly available, scalable, stable, secure, and cost-effective analytic solutions.
BASIC QUALIFICATIONS
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- 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.
USA, NY, New York - 145,300.00 - 196,600.00 USD annually
USA, WA, SEATTLE - 132,100.00 - 178,800.00 USD annually
See All 48 Sales Engineer Jobs in Seattle
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Find Sales Engineer JobsSales Engineer Job Market in Seattle
Who's Hiring
Top Industries Hiring
- Technology & Software
- Energy
Sales Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a sales engineer job in Seattle?
The strongest path into Seattle's sales engineer market runs through its cloud and enterprise software sector, where companies in South Lake Union and the Eastside corridor hire most actively. Candidates with hands-on experience in SaaS, networking, or infrastructure demos stand out. Familiarity with the procurement cycles of large tech buyers and manufacturing clients gives a practical edge in this market.
Which companies hire sales engineers in Seattle?
Seattle sales engineer roles are posted by Cribl, Cyera, and Meter and others right now, based on current listings on Migrate Mate as of November 2026. Seattle's hiring pool runs deep across both established enterprise tech firms headquartered on the Eastside and high-growth software companies concentrated in South Lake Union.
Are there remote sales engineer jobs in Seattle?
Yes, though the role is only partially remote by nature, since product demonstrations, on-site evaluations, and client meetings often require in-person presence. About 38% of sales engineer openings tied to Seattle are remote or hybrid as of November 2026, with the remote-eligible positions skewing toward cloud software and SaaS companies where demos run entirely in-browser.
How can I get a sales engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is through a technical support or solutions consultant role at a mid-size SaaS company in South Lake Union or a hardware-adjacent firm on the Eastside. Seattle employers in cloud infrastructure and industrial tech regularly hire candidates with strong product knowledge and customer-facing experience who can grow into the pre-sales function over one to two years.
Which industries hire the most sales engineers in Seattle?
Seattle sales engineer roles concentrate in Technology & Software and Energy, based on current listings on Migrate Mate as of November 2026. Seattle's position as a headquarters city for major cloud platforms and a regional hub for aerospace and industrial manufacturing makes those sectors consistently the largest employers of sales engineers locally.
Related Jobs in Washington
See All 48 Sales Engineer Jobs in Seattle
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