Analytics Engineer Jobs in Washington
Analytics Engineer jobs in Washington are among the most active in the country, concentrated in technology, cloud services, e-commerce, and enterprise software with openings from entry-level to principal level. Seattle anchors the market, with Bellevue and Redmond also drawing consistent demand from employers like Microsoft, Amazon, and Boeing. The most in-demand specialties are dbt modeling, data pipeline architecture, and analytics tooling for large-scale cloud environments. Find a role that fits below and apply directly.
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Showing 5 of 35+ Analytics Engineer jobs
DESCRIPTION
The DSP Analytics team has an exciting opportunity for a Data Engineer to make impactful contributions to Amazon's Delivery Service Partner (DSP) program tackling modern data challenges by combining traditional engineering practices with transformative analytics and Generative AI.
You'll help design and build the next generation of data infrastructure powering GenAI applications, and develop agents that automate the end-to-end data operations lifecycle. We are a team of Data Engineers working closely with Data Scientists, Economists, and Analysts turning machine learning and AI research into scalable products that delight customers worldwide.
You're passionate about technology, strongly biased toward going deep to find insights, and driven to build scalable analytical platforms. You're relentless about quality and reliability, and comfortable communicating across different levels of leadership. If that sounds like you, we'd love to talk.
Key job responsibilities
- Lead and design complex data architectures, ensuring scalability, security, and alignment with business objectives
- Drive implementation of large-scale data pipelines and ETL processes using AWS technologies
- Identify and resolve system-wide data challenges, including performance bottlenecks and architectural deficiencies
- Establish data engineering best practices, including governance, security standards, and operational excellence
- Ensure data solutions are auditable, accessible, and maintainable across the organization
- Collaborate with cross-functional teams to deliver innovative data solutions
About the team
We are the Amazon DSP Analytics team, supporting all business pillars across the DSP organization horizontally, with the vision to enable data-, insights-, and science-driven decision-making. We are an exceptionally talented and fun-loving team. Here, you'll have the opportunity to dive deep into complex business and data problems, drive large-scale technical solutions, and raise the bar for operational excellence. We love sharing ideas and learning from each other, and we believe in using those ideas to disrupt the status quo.
BASIC QUALIFICATIONS
- 4+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree in Computer Science, Engineering, or related fields
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Demonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project setting
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)
- Experience designing or building AI agents or multi-agent solutions that automate engineering workflows
- Familiarity with agentic AI patterns including tool use, function calling, and multi-agent orchestration
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, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
DESCRIPTION
The DSP Analytics team has an exciting opportunity for a Data Engineer to make impactful contributions to Amazon's Delivery Service Partner (DSP) program tackling modern data challenges by combining traditional engineering practices with transformative analytics and Generative AI.
You'll help design and build the next generation of data infrastructure powering GenAI applications, and develop agents that automate the end-to-end data operations lifecycle. We are a team of Data Engineers working closely with Data Scientists, Economists, and Analysts turning machine learning and AI research into scalable products that delight customers worldwide.
You're passionate about technology, strongly biased toward going deep to find insights, and driven to build scalable analytical platforms. You're relentless about quality and reliability, and comfortable communicating across different levels of leadership. If that sounds like you, we'd love to talk.
Key job responsibilities
- Lead and design complex data architectures, ensuring scalability, security, and alignment with business objectives
- Drive implementation of large-scale data pipelines and ETL processes using AWS technologies
- Identify and resolve system-wide data challenges, including performance bottlenecks and architectural deficiencies
- Establish data engineering best practices, including governance, security standards, and operational excellence
- Ensure data solutions are auditable, accessible, and maintainable across the organization
- Collaborate with cross-functional teams to deliver innovative data solutions
About the team
We are the Amazon DSP Analytics team, supporting all business pillars across the DSP organization horizontally, with the vision to enable data-, insights-, and science-driven decision-making. We are an exceptionally talented and fun-loving team. Here, you'll have the opportunity to dive deep into complex business and data problems, drive large-scale technical solutions, and raise the bar for operational excellence. We love sharing ideas and learning from each other, and we believe in using those ideas to disrupt the status quo.
BASIC QUALIFICATIONS
- 4+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree in Computer Science, Engineering, or related fields
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Demonstrated use of generative AI tools (e.g., agentic coding assistants, AI-powered IDEs) in a professional or project setting
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)
- Experience designing or building AI agents or multi-agent solutions that automate engineering workflows
- Familiarity with agentic AI patterns including tool use, function calling, and multi-agent orchestration
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, WA, Bellevue - 132,100.00 - 178,800.00 USD annually
See All 35 Analytics Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Analytics Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon10
- Amazon Web Services9
- Meta3
- ByteDance3
- Aritzia2
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Electronics & Hardware
- Distribution & Wholesale
What Washington Employers Look For
The qualifications that appear most often in analytics engineer jobs across Washington.
- Bachelor's degree in computer science, statistics, or a closely related quantitative field
- Proficiency in SQL and at least one programming language such as Python or Scala
- Hands-on experience building and maintaining data pipelines and transformation layers using dbt
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or Azure Synapse
- Ability to collaborate with data scientists and business stakeholders to define data models
- Experience with version control workflows and analytics engineering best practices in team environments
Analytics Engineer Jobs in Washington: Frequently Asked Questions
How do you become a analytics engineer in Washington?
Analytics engineering in Washington does not require a state-issued license. The typical path begins with a bachelor's degree in computer science, mathematics, statistics, or a related field, followed by building hands-on experience with SQL, dbt, and cloud data platforms. Washington's dense concentration of technology employers means that a strong portfolio demonstrating data modeling work, combined with certifications from platforms like dbt Labs or Snowflake, carries significant weight with hiring managers.
How much do analytics engineers make in Washington?
Analytics engineers in Washington earn a median of about $163,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $79,930 for the lowest 10% to over $220,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire analytics engineers in Washington?
Employers hiring analytics engineers in Washington right now include Amazon, Amazon Web Services, and Meta, based on current listings on Migrate Mate as of November 2026. Washington's technology-heavy economy means that both large enterprise employers and fast-growing cloud and SaaS companies consistently post analytics engineer openings throughout the year.
Which Washington cities have the most analytics engineer jobs?
Seattle, Bellevue, and Redmond have the most analytics engineer openings in Washington. Seattle's concentration of technology headquarters and e-commerce operations drives the bulk of demand, while Bellevue and Redmond draw significant hiring from major enterprise campuses including Microsoft's headquarters and a growing number of cloud-focused firms that have established offices there.
Are there remote analytics engineer jobs in Washington?
Yes, and more than most fields. Analytics engineering is desk-based and heavily tool-driven, making it well suited to remote and hybrid arrangements. About 0% of analytics engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting the broader technology industry's flexible work norms. The parts of the role most frequently offered remotely include data modeling, pipeline development, and cross-functional analytics support.
How can I get hired as a analytics engineer in Washington with little or no experience?
The most realistic entry path is transitioning from a data analyst or business intelligence analyst role, where SQL proficiency and dashboard experience are already established. Washington employers like Microsoft and Amazon run associate data engineering and analytics programs that accept candidates with strong fundamentals but limited professional experience. Building a public portfolio with dbt projects and contributing to open-source analytics repositories makes candidates measurably more competitive for junior analytics engineer and analytics associate roles at Washington technology companies.
Where can I find and apply to analytics engineer jobs in Washington?
You can find and apply to analytics engineer jobs in Washington on Migrate Mate, which lists current Washington openings across Seattle, Bellevue, Redmond, and beyond. Find roles that match your experience and specialization and apply directly to the employers posting them.
See All 35 Analytics Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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