Cloud Data Engineer Jobs in Washington
Cloud Data Engineer jobs in Washington are among the most active in the country, concentrated in technology, cloud infrastructure, e-commerce, and aerospace sectors with openings at every level from entry-level associate through principal engineer. Seattle and Bellevue anchor the market, with Redmond close behind, and major employers including Microsoft, Amazon, and Boeing consistently recruit cloud data engineers across their enterprise data platforms. The most in-demand specialties are cloud pipeline architecture, real-time streaming analytics, and data lakehouse engineering. Find a role that fits below and apply directly.
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See related jobsThis role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
The application window will be open until at least October 30, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of quota-carrying enterprise sales experience.
- Experience building business cases through workshops or product demos to business executives.
- Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
- Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Preferred qualifications:
- Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
- Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
- Experience closing large-scale data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
- Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
About the job
As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long-term data platform standardization.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Deliver against quota and achieve or exceed strategic business and growth goals. Drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
- Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
- Engage Line of Business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, through value-selling, tying modern Data & AI capabilities to quantified business outcomes.
- Align cross-functionally with FSRs and partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
- Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
The application window will be open until at least October 30, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; New York, NY, USA; Los Angeles, CA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of quota-carrying enterprise sales experience.
- Experience building business cases through workshops or product demos to business executives.
- Experience developing partnerships with technical stakeholders (e.g., Enterprise Architects, Data Engineers, Data Scientists).
- Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.
Preferred qualifications:
- Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or other proprietary enterprise systems.
- Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
- Experience closing large-scale data and AI transformation deals within specific regulated or high-growth enterprise verticals (e.g., Financial Services, Healthcare/Life Sciences, Retail, or Manufacturing).
- Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.
About the job
As an Agentic Data Cloud Sales Specialist, you will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and Partners to execute joint Data+AI plays that establish long-term data platform standardization.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $138000 - $200000 (USD) + 100% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Deliver against quota and achieve or exceed strategic business and growth goals. Drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
- Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
- Engage Line of Business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, through value-selling, tying modern Data & AI capabilities to quantified business outcomes.
- Align cross-functionally with FSRs and partners to execute joint Data+AI plays, driving platform standardization and co-sell motions.
- Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.
See All 5 Cloud Data Engineer Jobs in Washington
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Find Cloud Data Engineer JobsCloud Data Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Cloud Data Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
What Washington Employers Look For
The qualifications that appear most often in cloud data engineer jobs across Washington.
- Bachelor's degree in computer science, data engineering, or a related technical field
- Proficiency with cloud platforms such as AWS, Azure, or Google Cloud
- Experience building and maintaining scalable data pipelines using tools like Apache Spark or Kafka
- Strong command of SQL and at least one scripting language such as Python
- Familiarity with data warehousing solutions including Snowflake, Databricks, or Azure Synapse
- Knowledge of CI/CD practices and infrastructure-as-code tools such as Terraform or Ansible
Cloud Data Engineer Jobs in Washington: Frequently Asked Questions
How do you become a cloud data engineer in Washington?
Cloud data engineering in Washington has no state-issued license or registration requirement, so the path runs through education and credentials. Most Washington employers expect a bachelor's degree in computer science, software engineering, or a related field, paired with a cloud certification such as AWS Certified Data Engineer, Microsoft Azure Data Engineer Associate, or Google Professional Data Engineer. Candidates who build a portfolio of pipeline and lakehouse projects and contribute to open-source data tooling consistently move faster through Washington hiring processes.
How much do cloud data engineers make in Washington?
Cloud data engineers in Washington earn a median of about $128,760 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $101,970 for the lowest 10% to over $195,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire cloud data engineers in Washington?
Employers hiring cloud data engineers in Washington right now include Google, ByteDance, and Microsoft, based on current listings on Migrate Mate as of November 2026. Washington's concentration of cloud-native technology headquarters and large-scale aerospace and retail operations means demand for data infrastructure talent remains steady across multiple industries beyond pure software.
Which Washington cities have the most cloud data engineer jobs?
Seattle and Redmond have the most cloud data engineer openings in Washington. Seattle and Bellevue drive the bulk of listings because Microsoft, Amazon, and a dense cluster of SaaS and cloud-native companies are headquartered there, while Redmond anchors a secondary market tied directly to Microsoft's campus engineering and Azure product teams.
Are there remote cloud data engineer jobs in Washington?
Yes, and more than most fields. About 100% of cloud data engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how thoroughly this role operates through cloud consoles, version-controlled repositories, and distributed team tooling. Pipeline development, data modeling, and infrastructure-as-code work are the parts of the role most likely to remain fully remote, while on-call production support and stakeholder-facing analytics work typically require at least hybrid availability.
How can I get hired as a cloud data engineer in Washington with little or no experience?
The most realistic entry path is landing a data or cloud associate role and building toward engineering from there. Amazon and Microsoft both run university hire and early-career programs in Washington that place candidates into data infrastructure and cloud platform teams without requiring prior industry experience. Lateral moves from roles like data analyst, BI developer, or cloud support engineer are common on-ramps. Earning a cloud certification, contributing a documented ETL or streaming project to a public repository, and targeting associate data engineer postings at Washington technology companies gives candidates without a work history a concrete edge.
Where can I find and apply to cloud data engineer jobs in Washington?
You can find and apply to cloud data engineer jobs in Washington on Migrate Mate, which lists current Washington openings from employers actively hiring. Find roles that fit your experience and apply directly without needing to sign up first.
See All 5 Cloud Data Engineer Jobs in Washington
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