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 33+ Analytics Engineer jobs
DESCRIPTION
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the Worldwide (WW) Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.
Amazon Logistics is looking for a smart and ambitious individual to develop and support Amazon Logistics business intelligence and operations reporting and management systems. Amazon Logistics is a large, rapidly growing package delivery operation, that handles packages for Amazon and our customers with worldwide operations.
The potential candidate will support analysis, improvement and creation of metrics and dashboards on Amazon Logistics and Transportation by Amazon. In addition, she/he will work with internal customers at all levels of the organization – Operations, Customer service, HR, Technology, Operational Research, Health & Safety, Loss & Prevention. The potential candidate will enjoy the challenges and rewards of working in a fast-growing organization and a very international environment.
As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise 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. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.
Above all you should be passionate about bringing large datasets together to answer business questions and drive change.
Key job responsibilities
Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
Lead and develop a team of Business Intelligence Engineers and Business Analysts
Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation.
Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
About the team
This role is within Amazon Logistics (AMZL) ORBIT (Operations Reporting, Business Intelligence, and Technology) team. This team works as an integral part of AMZL worldwide to ensure that its business intelligence and analytics needs are met. By providing information, insight, and decision support, we strive to enable success of all parts of AMZL. Our customer set includes senior management, station operations, DSP management, Flex management, long-term planning, Ops technology (Voice of the Delivery Station, Voice of the Customer), network planning, and pretty much every BI and Ops teams in AMZL.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with forecasting and statistical analysis
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 - 99,500.00 - 160,000.00 USD annually
DESCRIPTION
Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the Worldwide (WW) Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.
Amazon Logistics is looking for a smart and ambitious individual to develop and support Amazon Logistics business intelligence and operations reporting and management systems. Amazon Logistics is a large, rapidly growing package delivery operation, that handles packages for Amazon and our customers with worldwide operations.
The potential candidate will support analysis, improvement and creation of metrics and dashboards on Amazon Logistics and Transportation by Amazon. In addition, she/he will work with internal customers at all levels of the organization – Operations, Customer service, HR, Technology, Operational Research, Health & Safety, Loss & Prevention. The potential candidate will enjoy the challenges and rewards of working in a fast-growing organization and a very international environment.
As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise 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. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.
Above all you should be passionate about bringing large datasets together to answer business questions and drive change.
Key job responsibilities
Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions
Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
Lead and develop a team of Business Intelligence Engineers and Business Analysts
Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation.
Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations
Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
About the team
This role is within Amazon Logistics (AMZL) ORBIT (Operations Reporting, Business Intelligence, and Technology) team. This team works as an integral part of AMZL worldwide to ensure that its business intelligence and analytics needs are met. By providing information, insight, and decision support, we strive to enable success of all parts of AMZL. Our customer set includes senior management, station operations, DSP management, Flex management, long-term planning, Ops technology (Voice of the Delivery Station, Voice of the Customer), network planning, and pretty much every BI and Ops teams in AMZL.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience with forecasting and statistical analysis
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 - 99,500.00 - 160,000.00 USD annually
See All 33 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
- Amazon11
- Amazon Web Services6
- ByteDance3
- Meta2
- Apple1
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 ByteDance, based on current listings on Migrate Mate as of September 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, Redmond, and Bellevue 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 43% of analytics engineer openings tied to Washington are remote or hybrid as of September 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 33 Analytics Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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