AI Data Engineer Jobs in Washington
AI Data Engineer jobs in Washington are among the most active in the country, with strong demand across cloud computing, aerospace, healthcare informatics, and enterprise software from entry-level associates through principal engineers. Seattle and Redmond anchor most of the hiring, with a smaller but growing concentration in Bellevue, where Microsoft, Amazon, and Boeing have built deep data and AI teams. The most sought-after specialties in Washington listings are large-scale ML pipeline development, real-time data infrastructure, and Azure and AWS platform engineering. Find a role that fits below and apply directly.
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DESCRIPTION
We are seeking an ABM Program Manager to own and scale the AI, data, and operational solutions that support our ABM community. This role sits at the intersection of marketing and technology: you will take complex, ambiguous problems and deliver AI-based solutions end-to-end — from problem definition through design, build, testing, and global rollout. You will act as the key partner between ABM stakeholders, cross-functional teams (Martech teams, Marketing Operations, and our Integrated Demand Center), and external vendors, translating strategic ABM objectives into scalable solutions.
This role combines strategic thinking with a builder mindset. You will not simply route requirements to a cross-functional support team — you will assess ABM requirements, and where a solution can be built using out-of-the-box AI tools (such as Amazon Quick, MCP integrations, and Asana), you will build it and enable ABMers to use these solutions effectively. Success means ABM practitioners have an integrated, easy-to-use set of AI-powered tools embedded in their daily workflow that adapt as their accounts evolve — delivered with rigor, field-tested adoption, and measurable impact.
Key job responsibilities
- Serve as the business lead for ABM AI, data, and operational solutions end-to-end — define the vision, program strategy, requirements, and success criteria for AI-based ABM solutions with limited guidance, operating in problem spaces where the solution is not yet defined.
- Design and build AI-powered tools and automation flows from problem definition through production — including customer journey engines, Quick Skill automations, MCP integrations across enterprise platforms (CRM, Highspot, Asana), and reactive signal-monitoring layers that keep solutions current as accounts evolve.
- Drive delivery and support of complex, cross-functional solutions — including design, AppSec compliance, build, user acceptance testing with field practitioners, documentation (SOPs and training guides), product demonstrations, and global rollout.
- Serve as the key partner between marketing stakeholders, cross-functional teams (Martech teams, Marketing Operations, and our Integrated Demand Center), and external vendors — translating business requirements into technical specifications, and communicating technical constraints back to marketing stakeholders.
- Drive AI enablement and adoption across a globally distributed practitioner community — assess AI maturity, build leveling frameworks, deploy Quick Skills tooling, and coach practitioners (e.g., via a Champions program) to scale adoption across all Geos.
- Spot risks and drive appropriate trade-offs — understand design approaches within the ABM technology domain (AI/ML frameworks, MCP integrations, data sources, agent orchestration, UI/UX) and ask the right questions to ensure sound decisions.
- Define, track, and report on program KPIs (adoption, usage volume, practitioner impact, time savings, delivery quality). Use data to identify bottlenecks, drive improvements, and inform investment decisions.
- Create new processes and mechanisms — AI solution generation workflows, orchestration patterns, coaching methodologies, and global rollout mechanisms — and optimize cross-team delivery across engineering and marketing organizations.
- Facilitate cross-functional decision-making forums with leaders, technical program managers, and vendors to secure resources, align priorities, and drive timely decisions. Present decisions and program status to senior leadership.
- Partner with the Martech team on ABM solution lifecycle management — contributing requirements and field-informed input to platform builds such as buying-group identification services, account planning platforms, and ABM experience products.
BASIC QUALIFICATIONS
- 4+ years of professional non-internship marketing experience
- Experience using data and metrics to drive improvements
- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
- Experience using Microsoft Excel to manipulate and analyze data
- Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion
PREFERRED QUALIFICATIONS
- Experience using customer research, hard data and metrics to back up assumptions, generate forecasts, and assess the efficacy of marketing programs
- Experience utilizing systems and tools involving email, web, analytics, and CRM (Marketo, Tableau, Salesforce, etc.) for targeting, segmentation, reporting for demand generation
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, Seattle - 82,700.00 - 141,100.00 USD annually
DESCRIPTION
We are seeking an ABM Program Manager to own and scale the AI, data, and operational solutions that support our ABM community. This role sits at the intersection of marketing and technology: you will take complex, ambiguous problems and deliver AI-based solutions end-to-end — from problem definition through design, build, testing, and global rollout. You will act as the key partner between ABM stakeholders, cross-functional teams (Martech teams, Marketing Operations, and our Integrated Demand Center), and external vendors, translating strategic ABM objectives into scalable solutions.
This role combines strategic thinking with a builder mindset. You will not simply route requirements to a cross-functional support team — you will assess ABM requirements, and where a solution can be built using out-of-the-box AI tools (such as Amazon Quick, MCP integrations, and Asana), you will build it and enable ABMers to use these solutions effectively. Success means ABM practitioners have an integrated, easy-to-use set of AI-powered tools embedded in their daily workflow that adapt as their accounts evolve — delivered with rigor, field-tested adoption, and measurable impact.
Key job responsibilities
- Serve as the business lead for ABM AI, data, and operational solutions end-to-end — define the vision, program strategy, requirements, and success criteria for AI-based ABM solutions with limited guidance, operating in problem spaces where the solution is not yet defined.
- Design and build AI-powered tools and automation flows from problem definition through production — including customer journey engines, Quick Skill automations, MCP integrations across enterprise platforms (CRM, Highspot, Asana), and reactive signal-monitoring layers that keep solutions current as accounts evolve.
- Drive delivery and support of complex, cross-functional solutions — including design, AppSec compliance, build, user acceptance testing with field practitioners, documentation (SOPs and training guides), product demonstrations, and global rollout.
- Serve as the key partner between marketing stakeholders, cross-functional teams (Martech teams, Marketing Operations, and our Integrated Demand Center), and external vendors — translating business requirements into technical specifications, and communicating technical constraints back to marketing stakeholders.
- Drive AI enablement and adoption across a globally distributed practitioner community — assess AI maturity, build leveling frameworks, deploy Quick Skills tooling, and coach practitioners (e.g., via a Champions program) to scale adoption across all Geos.
- Spot risks and drive appropriate trade-offs — understand design approaches within the ABM technology domain (AI/ML frameworks, MCP integrations, data sources, agent orchestration, UI/UX) and ask the right questions to ensure sound decisions.
- Define, track, and report on program KPIs (adoption, usage volume, practitioner impact, time savings, delivery quality). Use data to identify bottlenecks, drive improvements, and inform investment decisions.
- Create new processes and mechanisms — AI solution generation workflows, orchestration patterns, coaching methodologies, and global rollout mechanisms — and optimize cross-team delivery across engineering and marketing organizations.
- Facilitate cross-functional decision-making forums with leaders, technical program managers, and vendors to secure resources, align priorities, and drive timely decisions. Present decisions and program status to senior leadership.
- Partner with the Martech team on ABM solution lifecycle management — contributing requirements and field-informed input to platform builds such as buying-group identification services, account planning platforms, and ABM experience products.
BASIC QUALIFICATIONS
- 4+ years of professional non-internship marketing experience
- Experience using data and metrics to drive improvements
- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
- Experience using Microsoft Excel to manipulate and analyze data
- Experience building, executing and scaling cross-functional programs or marketing campaigns from concept to completion
PREFERRED QUALIFICATIONS
- Experience using customer research, hard data and metrics to back up assumptions, generate forecasts, and assess the efficacy of marketing programs
- Experience utilizing systems and tools involving email, web, analytics, and CRM (Marketo, Tableau, Salesforce, etc.) for targeting, segmentation, reporting for demand generation
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, Seattle - 82,700.00 - 141,100.00 USD annually
See All 50 AI Data Engineer Jobs in Washington
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Find AI Data Engineer JobsAI Data Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Data Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Retail
- Technology & Software
- Construction & Real Estate
- E-Commerce & Online Marketplaces
What Washington Employers Look For
The qualifications that appear most often in AI data engineer jobs across Washington.
- Bachelor's or master's degree in computer science, data engineering, or a closely related technical field
- Hands-on experience building and maintaining production data pipelines on Azure, AWS, or Google Cloud
- Proficiency in Python and SQL with demonstrated experience in Apache Spark or distributed compute frameworks
- Experience with MLOps practices, including model deployment, monitoring, and retraining workflows
- Familiarity with modern data orchestration tools such as Apache Airflow, dbt, or Databricks
- Strong communication skills for collaborating with data scientists, product managers, and engineering teams
AI Data Engineer Jobs in Washington: Frequently Asked Questions
How do you become a ai data engineer in Washington?
Washington does not require a state-issued license to work as an ai data engineer, so the path centers on education and demonstrated technical skill. Most Washington employers expect at least a bachelor's degree in computer science, data science, or a related field, with a master's degree valued at larger organizations like Microsoft and Amazon. Building a portfolio of end-to-end pipeline projects, contributing to open-source data tooling, and earning cloud certifications from AWS or Azure strengthens candidacy considerably in this market.
How much do AI data engineers make in Washington?
AI data 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 ai data engineers in Washington?
Employers hiring ai data 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 density of major tech headquarters and cloud platform teams makes it one of the deepest markets in the country for this role.
Which Washington cities have the most ai data engineer jobs?
Seattle, Bellevue, and Redmond have the most ai data engineer openings in Washington. Seattle and Redmond drive the bulk of demand thanks to the headquarters presence of Amazon, Microsoft, and a cluster of high-growth cloud and AI startups, while Bellevue's expanding enterprise and fintech sector has added a steady share of openings in recent years.
Are there remote ai data engineer jobs in Washington?
Yes, and more than most fields. About 45% of ai data engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how naturally the work fits a distributed environment. Pipeline development, data modeling, and MLOps work are the functions most commonly offered with full remote flexibility, while roles requiring close collaboration with on-site hardware or real-time infrastructure teams tend to require at least hybrid attendance.
How can I get hired as a ai data engineer in Washington with little or no experience?
The most realistic entry path is landing a data engineering associate or junior data analyst role at one of Washington's large tech employers and building toward ai data engineering from within. Amazon and Microsoft both run structured new-graduate programs that place candidates in data platform and AI infrastructure teams. Candidates without industry experience can strengthen their profile by completing an AWS or Azure data engineer certification, publishing end-to-end pipeline projects on GitHub, and targeting adjacent roles in data analytics or data operations that commonly transition into engineering tracks.
Where can I find and apply to ai data engineer jobs in Washington?
You can find and apply to ai data engineer jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search for roles that match your experience level and specialization, then apply directly to the ones that fit.
See All 50 AI Data Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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