Data Engineer Jobs in Bellevue, WA
Data Engineer jobs in Bellevue are concentrated in the Bellevue Downtown Park corridor, the Spring District, and the Eastgate technology hub, with strong demand across cloud, fintech, and enterprise software. Employers actively hiring include Amazon, Meta, and ARMADA. See the openings below and apply to the ones that match your experience.
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Showing 4 of 152+ Data Engineer jobs
DESCRIPTION
Key job responsibilities
As a Data Engineer, you will/may:
- Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
- Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
- Develop code based automated data pipelines able to process millions of data points.
- Improve database and data warehouse performance by tuning inefficient queries.
- Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
- Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.
A day in the life
We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
About the team
Workforce Solutions (WS) empowers our customers by providing integrated, people-focused solutions that streamline hiring processes for WW Stores, AWS, Devices, and Talent Acquisition. As stewards of the employee lifecycle and experience, we drive initiatives that promote transparency and efficiency in career mobility, workforce engagement, and operational needs management. We prioritize customer-centricity by tailoring our capabilities and processes to align with their preferences and behaviors. Our approach is to start with the customer's needs and match individuals to the right opportunities through our services.
BASIC QUALIFICATIONS
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
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 - 101,300.00 - 160,000.00 USD annually
DESCRIPTION
Key job responsibilities
As a Data Engineer, you will/may:
- Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
- Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
- Develop code based automated data pipelines able to process millions of data points.
- Improve database and data warehouse performance by tuning inefficient queries.
- Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
- Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.
A day in the life
We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
About the team
Workforce Solutions (WS) empowers our customers by providing integrated, people-focused solutions that streamline hiring processes for WW Stores, AWS, Devices, and Talent Acquisition. As stewards of the employee lifecycle and experience, we drive initiatives that promote transparency and efficiency in career mobility, workforce engagement, and operational needs management. We prioritize customer-centricity by tailoring our capabilities and processes to align with their preferences and behaviors. Our approach is to start with the customer's needs and match individuals to the right opportunities through our services.
BASIC QUALIFICATIONS
- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
PREFERRED QUALIFICATIONS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
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 - 101,300.00 - 160,000.00 USD annually
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Find Data Engineer JobsData Engineer Job Market in Bellevue
Who's Hiring
- Amazon72
- Meta16
- ARMADA8
- Airreps8
- Statsig8
Top Industries Hiring
- Technology & Software16
- Retail8
- Investment & Asset Management8
- E-Commerce & Online Marketplaces8
Data Engineer Jobs in Bellevue: Frequently Asked Questions
How do I get a data engineer job in Bellevue?
The fastest path into Bellevue's data engineering market is targeting cloud and enterprise software employers in the Spring District and Downtown Bellevue core, where most of the technical hiring concentrates. Candidates with hands-on experience in cloud-native data platforms, real-time pipelines, or large-scale warehousing stand out. Familiarity with the Eastside tech ecosystem and a portfolio demonstrating production-grade work gives you a concrete edge over applicants with only academic credentials.
Which companies hire data engineers in Bellevue?
Companies currently hiring data engineers in Bellevue include Amazon, Meta, and ARMADA, per current listings on Migrate Mate as of September 2026. Bellevue's employer mix leans heavily toward large technology firms and fast-growing fintech companies, with a growing number of cloud infrastructure and enterprise SaaS businesses that have relocated or expanded to the Eastside in recent years.
Are there remote data engineer jobs in Bellevue?
Yes, data engineering is generally well-suited to remote and hybrid arrangements because the work centers on code, pipelines, and cloud infrastructure rather than on-site equipment. About 67% of data engineer openings tied to Bellevue are remote or hybrid as of September 2026, reflecting the flexibility many Eastside tech employers now offer. Roles focused on pipeline development and analytics engineering tend to carry the most location flexibility in the Bellevue market.
How can I get a data engineer job in Bellevue with little or no experience?
The most realistic entry path in Bellevue is targeting associate or junior data engineer roles at mid-size cloud software companies in the Spring District, which hire earlier-career candidates more readily than large enterprise firms. Lateral moves from data analyst or SQL-heavy analyst engineering roles are common. Building a public portfolio with end-to-end pipeline projects, contributing to open-source tooling, and earning a cloud certification from a provider with a strong Bellevue presence all improve your standing with local hiring teams.
Which industries hire the most data engineers in Bellevue?
Most data engineer openings in Bellevue sit in Technology & Software, Retail, and Investment & Asset Management, per current listings on Migrate Mate as of September 2026. Bellevue's concentration of cloud platform companies, financial technology firms, and enterprise software vendors means data infrastructure and analytics pipelines are core business functions rather than support roles, which sustains consistent hiring demand across those sectors.
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