Cloud Data Engineer Jobs in Seattle, WA
Cloud Data Engineer jobs in Seattle, Washington are in strong demand, concentrated in South Lake Union, the Central District tech corridor, and Bellevue across cloud infrastructure, e-commerce, and enterprise software. Employers hiring right now include Amazon Web Services, Rippling, and Amazon. See the openings below and apply to the ones that match your experience.
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of experience building and developing large-scale infrastructure or distributed systems.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a matrixed organization.
- Experience in large-scale data processing.
About the job
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
Our goal is to realize the “data processing as a service”: easy-to-use and arbitrarily scalable execution of user code. Dataflow has numerous customers including many of GCP’s top accounts, recent blog posts that highlight Dataflow’s customer value.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead and manage a talented team of 8 engineers, shaping each individual’s career growth, and fostering high-performance culture.
- Define and execute Dataflow Streaming strategy and roadmap for Seattle team in partnership with other Dataflow leads and cross-functional partners (e.g., PMs, SREs).
- Lead the design and development of a scalable, reliable streaming platform. Ensure Dataflow is seamlessly integrated with key products like BigQuery, GCS, Pub/Sub, and Kafka.
- Provide expert technical guidance and build an understanding of Dataflow’s Streaming internals to effectively mentor executive engineers and drive architectural choices.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 3 years of experience building and developing large-scale infrastructure or distributed systems.
- 3 years of experience in a technical leadership role.
- 2 years of experience in a people management or team leadership role.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience working in a matrixed organization.
- Experience in large-scale data processing.
About the job
Google Cloud’s mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.
Our goal is to realize the “data processing as a service”: easy-to-use and arbitrarily scalable execution of user code. Dataflow has numerous customers including many of GCP’s top accounts, recent blog posts that highlight Dataflow’s customer value.
US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead and manage a talented team of 8 engineers, shaping each individual’s career growth, and fostering high-performance culture.
- Define and execute Dataflow Streaming strategy and roadmap for Seattle team in partnership with other Dataflow leads and cross-functional partners (e.g., PMs, SREs).
- Lead the design and development of a scalable, reliable streaming platform. Ensure Dataflow is seamlessly integrated with key products like BigQuery, GCS, Pub/Sub, and Kafka.
- Provide expert technical guidance and build an understanding of Dataflow’s Streaming internals to effectively mentor executive engineers and drive architectural choices.
See All 26 Cloud Data Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Cloud Data Engineer JobsCloud Data Engineer Job Market in Seattle
Who's Hiring
- Amazon Web Services7
- Rippling2
- Amazon2
- West Monroe2
- Colliers Engineering & Design2
Top Industries Hiring
- Technology & Software9
- Distribution & Wholesale7
- Consulting & Professional Services7
- Retail2
- E-Commerce & Online Marketplaces2
Cloud Data Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a cloud data engineer job in Seattle?
Focus your search on South Lake Union, Bellevue, and Redmond, where cloud infrastructure, e-commerce, and enterprise software employers concentrate. Seattle's market rewards hands-on experience with AWS, Azure, or GCP alongside pipeline tooling like Spark, Kafka, or dbt. Candidates who can point to production-scale data systems and cloud cost optimization work consistently stand out with Seattle hiring managers.
Which companies hire cloud data engineers in Seattle?
Seattle cloud data engineer roles are posted by Amazon Web Services, Rippling, and Amazon and others right now, based on current listings on Migrate Mate as of June 2026. Seattle's hiring mix includes large cloud platform companies, high-growth SaaS startups, and regional enterprises in retail technology and healthcare IT.
Are there remote cloud data engineer jobs in Seattle?
Yes, cloud data engineering is one of the more remote-friendly technical disciplines since the core work is analytical and platform-based rather than on-site. About 22% of cloud data engineer openings tied to Seattle are remote or hybrid as of June 2026, with fully remote options most common for pipeline development and data modeling roles rather than infrastructure engineering tied to on-premise systems.
How can I get a cloud data engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is through a data analyst or junior data engineer role at a mid-size SaaS company or regional healthcare organization, where teams are smaller and engineers gain broad cloud exposure quickly. Building a portfolio of projects using AWS or Azure free tiers, contributing to open-source data tooling, and targeting Seattle's growing biotech and fintech sectors gives early-career candidates a concrete foothold in the local market.
Which industries hire the most cloud data engineers in Seattle?
The sectors hiring the most cloud data engineers in Seattle are Technology & Software, Distribution & Wholesale, and Consulting & Professional Services, based on current listings on Migrate Mate as of June 2026. Seattle's role as a global cloud computing hub, combined with its dense concentration of e-commerce and enterprise software firms, drives consistent demand for cloud data engineering talent across these sectors.
Related Jobs in Washington
See All 26 Cloud Data Engineer Jobs in Seattle
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