How much do Data & Analytics jobs in Seattle, WA pay?

Based on 1389 listings with disclosed salaries, most data & analytics jobs in Seattle, WA pay between $101k–$235k per year. Individual offers vary with seniority, company size, and specialization.

How many Data & Analytics jobs are open in Seattle, WA right now?

There are currently 1,636 open data & analytics positions in Seattle, WA listed on Clera. New openings are added daily as companies post roles.

Which companies are hiring for Data & Analytics roles in Seattle, WA?

Companies currently hiring include Amazon, Oracle, Expedia Group, Apple, Starbucks, among others. Browse the listings above to see every active employer.

Are there remote or hybrid Data & Analytics jobs in Seattle, WA?

Yes — 514 of the 1636 open data & analytics positions offer remote or hybrid work (92 remote, 422 hybrid).

How do I apply for Data & Analytics jobs in Seattle, WA?

Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.

Data & Analytics Jobs in Seattle, WA (Now Hiring) — 1,636 open — Page 55

DigitalOcean

Senior Engineering Manager, Kernel and Virt

Seattle, Washington, United States · Hybrid

$201k–$251k/yr

Senior+$2.7B raised

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, natura…

Skills: Engineering Leadership, Kubernetes, AI Infrastructure, GPU Architecture, Distributed Systems

QXO

Staff Software Engineer, Data

Seattle, Washington, United States · On-site

$175k–$400k/yr

Senior+$19B raised

Overview QXO is a leading distributor and installer of building products serving an $800 billion market. The company’s mission is to modernize the building products industry through advanced technology and a best-in-clas…

Skills: Data Architecture, Data Modeling, SQL, Python, Distributed Systems

QXO

Staff Software Engineer, Salesforce

Seattle, Washington, United States · On-site

$160k–$288k/yr

Senior+$19B raised

Skills: Salesforce Architecture, Apex, Lightning Web Components, Google Cloud Platform, Full-Stack Development

Stripe

Software Engineer, Product Security Data Platforms

Seattle, Washington, United States · On-site

Mid level$9.4B raised

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their re…

Skills: Data Engineering, Distributed Systems, Java, C++, Rust

Google

Senior Strategist, Scams and Verification Trust and Safety

Seattle, Washington, United States · On-site

$116k–$167k/yr

Senior$26M raised

Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in data analytics, trust and safety, policy, risk analysis, or related fields. Experience in SQL. Preferred qualificatio…

Skills: Data Analytics, SQL, Python, Java, Fraud Risk Management

Oracle

Senior Core Infrastructure Engineer

Seattle, Washington, United States · On-site

$79k–$210k/yr

Mid level$56B raised

Designs, implements, and optimizes components in distributed systems with an emphasis on scalability, resiliency, and operability. Delivers features and load/performance tests; leverages data plane platforms and distribu…

Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure as Code

Oracle

Senior Core Infrastructure Engineer

Seattle, Washington, United States · On-site

$79k–$210k/yr

Mid level$56B raised

Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure As Code

Oracle

Senior Core Infrastructure Engineer

Seattle, Washington, United States · On-site

$79k–$210k/yr

Mid level$56B raised

Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure as Code

Oracle

Senior Core Infrastructure Engineer

Seattle, Washington, United States · On-site

$79k–$210k/yr

Mid level$56B raised

Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure As Code

Oracle

Senior Core Infrastructure Engineer

Seattle, Washington, United States · On-site

$79k–$210k/yr

Mid level$56B raised

Skills: Distributed Systems, Scalability, Resiliency, Fault Tolerance, Infrastructure as Code

Amazon

Sr. Software Development Engineer, Data Center Design Engineering - BIM & AI Technologies

Seattle, Washington, United States · On-site

$168k–$227k/yr

Senior+$35B raised

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the…

Skills: Building Information Modeling (BIM), Generative AI, Software Architecture, Machine Learning Productionization, Autodesk Revit

Valorem Reply

Associate Consultant - Ecosystem

Seattle, Washington, United States · Hybrid

Entry level

Spur Reply, part of the Reply Network, is a leader in go-to-market consulting. Our mission is to turn every interaction our clients have into a go-to-market advantage. We are a consultancy whose objective is to drive res…

Skills: Project Management, Competitive Research, Data Analysis, Microsoft PowerPoint, Microsoft Excel

Nordstrom

Data Analyst 3 - Supply Chain Operations

Seattle, Washington, United States · On-site

$103k–$171k/yr

Senior$969M raised

Job DescriptionThe Data Analyst 3 will be a senior member of the Supply Chain Analytics team, owning the delivery of data and insights for Nordstrom’s Supply Chain Organization. The Data Analyst 3 will provide ongoing da…

Skills: Data Management, Data Analysis, Looker, LookML, SQL

Qumulo

Site Reliability Engineer (SRE) - Hybrid Cloud Storage

Seattle, Washington, United States · Hybrid

$140k–$210k/yr

Mid level

Qumulo's cloud data platform manages exabytes of the world's most demanding data, unifying files, objects, and every workload across edge, core, and cloud. About the Role: You'll be one of the first hires on a team with …

Skills: Python, C, Linux, Kubernetes, Ansible

Qumulo

Technical Program Manager (TPM) - Hybrid Cloud Storage

Seattle, Washington, United States · Hybrid

$125k–$200k/yr

Senior

Qumulo's cloud data platform manages exabytes of the world's most demanding data, unifying files, objects, and every workload across edge, core, and cloud. About the Role: Qumulo ships fast, with many new releases throug…

Skills: Technical Program Management, Cross-functional Coordination, Agile Methodologies, Scrum, Jira

Salesforce

Staff/Sr. Software Engineer, Search Data Infrastructure - Slack

Atlanta, Georgia, United States · Hybrid

$173k–$314k/yr

Senior+$25B raised

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforc…

Skills: Distributed Systems, Search Infrastructure, Solr, Java, Go

Expedia Group

Senior Software Development Engineer - InsurTech

Seattle, Washington, United States · Hybrid

$185k–$295k/yr

Senior+$6.7B raised

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and adv…

Skills: System Design, API Design, Data Modeling, Distributed Systems, Microservices

Amazon

Software Development Engineer, Seller

Seattle, Washington, United States · On-site

$144k–$194k/yr

Mid level$35B raised

Did you know that over 58% of Amazon's gross merchandise sales come from independent third-party Sellers on Amazon? The Amazon Marketplace enables over 2 million third-party Sellers in eleven marketplaces to offer their …

Skills: Generative AI, Agentic Systems, Distributed Architecture, AWS Cloud Platform, C#

Amazon

Sr. Software Engineer, FireTV Personalization

Seattle, Washington, United States · On-site

$168k–$227k/yr

Senior$35B raised

Be the one to decide what 90 million+ people watch next. You'll solve some of the most compelling problems in streaming by designing and building the recommendation systems that help customers discover the right content …

Skills: Software Development, System Architecture, Recommendation Systems, Design Patterns, Scaling

Atlassian

Senior Machine Learning Manager

Seattle, Washington, United States · On-site

$174k–$274k/yr

Senior+$50M raised

Overview Your Future Team - DevAI Atlassian’s journey began with Jira, a tool designed to help developers track bugs and manage their work. Over the years, Atlassian has expanded its suite of productivity tools, yet deve…

Skills: LLM Integration, Prompt Engineering, People Management, Strategic Leadership, Machine Learning

What You'll Do:

Team Leadership & Development: Recruit, mentor, and coach engineers on the team, fostering a culture of ownership, technical excellence, and continuous improvement.

Execution & Delivery: Own the team's project execution, translating high-level business goals into clear technical roadmaps, measurable milestones, and successful, on-time delivery.

Cross-Functional Partnership: Collaborate with Product Management, other engineering teams, and key stakeholders to align priorities, manage dependencies, and communicate progress and risks.

Operational Health: Ensure the production health, stability, and on-call rotation of all services owned by the Inference Orchestration team.

Strategic Architecture & Planning: Define the technical roadmap and oversee the architecture of high-throughput scheduling systems for massive Kubernetes clusters (1,000+ nodes, 10,000+ pods), focusing on scalability techniques like multi-scheduler architectures and batch dispatching.

Maximize GPU Utilization: Eliminate GPU waste in multi-tenant environments by implementing fractional GPU allocation, leveraging mechanisms like KAI-Scheduler's Reservation Pods or hard-isolation tools like HAMi, and configuring time-based fairshare scheduling to balance over-quota pool access.

Orchestrate Complex Inference: Implement and manage disaggregated AI inference pipelines using frameworks like NVIDIA Grove, coordinating multicomponent deployments (e.g., prefill leaders, decode workers, KV routers) with multilevel autoscaling and explicit startup ordering.

Optimize Placement & Topology: Deploy topology-aware scheduling to align pod placement with physical hardware dimensions, such as NVLink connections, PCIe lanes, and NUMA nodes, minimizing communication latency for multi-GPU operations.

Platform Performance & Reliability: Drive initiatives to enhance overall cluster performance, including optimizing scheduling latency, API server load, and implementing fault tolerance mechanisms like Checkpoint/Restore for long-running AI training jobs.

Manage AI Storage & Fault Tolerance: Orchestrate efficient model weight distribution using OCI Image Volumes and implement Checkpoint/Restore capabilities (via CRIU and NVIDIA cuda-checkpoint) for long-running training fault recovery.

Security and Isolation: Define and enforce security best practices for AI workloads, ensuring multi-layered isolation environments and agent sandboxes are deployed to safely execute untrusted code (e.g., using Kata Containers, gVisor, or microVMs).

What You’ll Bring:

Engineering Leadership Experience: Proven track record of managing and growing high-performing engineering teams, preferably within a distributed systems or infrastructure domain.

Kubernetes and AI Infrastructure Domain Knowledge: Deep expertise in Kubernetes at scale and a strong foundational understanding of the core challenges in AI workload orchestration, scheduling, and resource management.

Hardware-Aware Optimization: Strategic knowledge of GPU architectures (NVIDIA and/or AMD), interconnects (like NVLink), and hardware topology and their direct impact on AI training and inference performance.

Resource and Cost Management: Experience in balancing performance against cost, applying principles like Dominant Resource Fairness (DRF), and directing strategies for maximizing cluster efficiency.

Systems Engineering & Security: Familiarity with concepts in container runtime internals, system isolation, and security contexts to manage risk in shared infrastructure.

AI/ML Serving Architectures: Strong understanding of modern LLM serving architectures, disaggregation patterns, and common serving engines (e.g., vLLM, Triton, SGLang).

Observability and SLOs: Expertise in defining, tracking, and operationalizing deep infrastructure and inference metrics (e.g., TTFT, TPOT) to drive performance improvements and meet service level objectives.

Compensation Range:

$200,800 - $251,000

*This is a hybrid role

JR: 2026-7649

#LI-Hybrid

Why You’ll Like Working for DigitalOcean

We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.

Data & Analytics Jobs in Seattle, WA (Now Hiring) — 1,636 open — Page 55

Senior Engineering Manager, Kernel and Virt

Staff Software Engineer, Data

Staff Software Engineer, Salesforce

Software Engineer, Product Security Data Platforms

Senior Strategist, Scams and Verification Trust and Safety

Senior Core Infrastructure Engineer

Senior Core Infrastructure Engineer

Senior Core Infrastructure Engineer

Senior Core Infrastructure Engineer

Senior Core Infrastructure Engineer

Sr. Software Development Engineer, Data Center Design Engineering - BIM & AI Technologies

Associate Consultant - Ecosystem

Data Analyst 3 - Supply Chain Operations

Site Reliability Engineer (SRE) - Hybrid Cloud Storage

Technical Program Manager (TPM) - Hybrid Cloud Storage

Staff/Sr. Software Engineer, Search Data Infrastructure - Slack

Senior Software Development Engineer - InsurTech

Software Development Engineer, Seller

Sr. Software Engineer, FireTV Personalization

Senior Machine Learning Manager

Senior Engineering Manager, Kernel and Virt

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How much do Data & Analytics jobs in Seattle, WA pay?

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Which companies are hiring for Data & Analytics roles in Seattle, WA?

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