Data engineer jobs in Bothell, WA and nearby (140 jobs)

Data engineer jobs within 25 miles of Bothell, WA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 140
Employers: 62

Advertised starting pay

Average starting payUSD / year: $138,255Across 29 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 10%14 listings
On-site: 13%18 listings

Not specified: 77% (108 listings)

Employers hiring include Amazon.com Services LLC (29), Amazon (18), Deloitte US (6).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Bothell, WA and nearby

Within 25 miles

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Added 3 days ago
Data Engineer – (Hadoop & Big Data)/Teradata & Data stage
supremesoft
Bellevue, WA
Added 3 days ago
Software Design Engineer III-Data Engineer
Blueprint Consulting Services
Bellevue, WA
Added 3 days ago
M
Principal Data Engineer
Microsoft
Redmond, WA
- $142,800 to $304,200 USD / year
We are looking for a Principal Data Engineer to lead the architecture, development, and operation of scalable, reliable data platforms. This role requires deep expertise in ETL, data…
Added 3 days ago
ET
Data Engineer
EdgeQ Technologies Private Limited
Seattle, WA
- $85,000 to $160,000 USD / year
We are seeking a skilled Data Engineer with 2–8 years of experience to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong…
Added 3 days ago
Manager, Cloud Data Engineer
Deloitte US
Seattle, WA
AI & Engineering leverages cutting-edge engineer
Added 4 days ago
Sr. Data Engineer - Amazon Leo, Leo Global Business
Amazon Kuiper Commercial Services LLC
Bellevue, WA
Added 4 days ago
RD
Data Engineer, Operations Analytics
Rowan Digital Infrastructure
Seattle, WA
- $109,000 to $125,000 USD / year
At Rowan Digital Infrastructure, we are transforming data center delivery for speed and scale. Our mission is to deliver best-in-class data center solutions to hyperscale customers who…
Added 4 days ago
RR
IT Specialist (Data Engineer)
Railroad Retirement Board
Seattle, WA
- $90,925 to $118,204 USD / year
…responsible for designing, building, and maintaining scalable data pipelines and infrastructure to collect, store, process, and deliver large datasets in support of the agency's…
Added 4 days ago
RR
IT Specialist (Data Engineer)
Railroad Retirement Board
Seattle, WA
- $90,925 to $118,204 USD / year
…responsible for designing, building, and maintaining scalable data pipelines and infrastructure to collect, store, process, and deliver large datasets in support of the agency's…
Added 4 days ago
Data Engineer III, Amazon Manufacturing Services (AMS)
Amazon
Bellevue, WA
Do you want to turn manufacturing data into decisions that move physical parts through a factory? Amazon Manufacturing Services (AMS) runs 135+ machines producing custom parts for over 100…
Added 4 days ago
P
SAP Analytics and Data Engineer
PACCAR
Renton, WA
- $104,000 to $162,000 USD / year
Added 5 days ago
Data Engineer, Advertising Demand Enablement & Product Ops (DEPO)
Amazon.com Services LLC
Seattle, WA
Are you passionate about building data infrastructure that delivers real business value at massive scale? As a Data Engineer at Amazon, you will design, build, and optimize data pipelines…
Added 5 days ago
Data Engineer, Workforce Solutions - Talent Mobility
Amazon
Bellevue, WA
Added 6 days ago
Data Engineer, WW Ops Finance S&A
Amazon.com Services LLC
Bellevue, WA
Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in…
Added 7 days ago
Data Engineer- Consultant AI& E
Deloitte US
Bellevue, WA · Seattle, WA
…wants to work in a collaborative environment? As an experienced Data Engineer-Consultant you will have the ability to share new ideas and collaborate on projects as a consultant without the…
Added 7 days ago
Management Consultant - Data Engineer
IBM
Bellevue, WA · Seattle, WA
Added 8 days ago
AI Data Engineer – AI Training Data
ManpowerGroup
Redmond, WA
Our client, Applied Sciences is seeking a Data Analyst 1 to join their team. As a Data Analyst 1, you will be part of the Applied Sciences organization supporting Applied Sciences teams.…
Added 8 days ago
AI Data Engineer – AI Training Data
Experis USA
Redmond, WA
Our client, Applied Sciences is seeking a Data Analyst 1 to join their team. As a Data Analyst 1, you will be part of the Applied Sciences organization supporting Applied Sciences teams.…
Added 8 days ago
Data Engineer, GTM Systems
Anthropic
Seattle, WA
Added 9 days ago
Data Engineer II, Sales Data Services (SDS)
Amazon.com Services LLC
Seattle, WA
Added 10 days ago
Data Engineer II, DSP Analytics
Amazon.com Services LLC
Bellevue, WA
The DSP Analytics team has an exciting opportunity for a Data Engineer to make impactful contributions to Amazon's Delivery Service Partner (DSP) program tackling modern data challenges by…
Added 10 days ago
Data Engineer, WW Ops Finance S&A
Amazon.com Services LLC
Bellevue, WA
Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in…
Added 10 days ago
Data Engineer I , WW Ops Finance S&A
Amazon
Bellevue, WA
Do you love turning messy, large-scale data into pipelines people can trust? If you want to solve hard data warehousing problems, partner directly with stakeholders, and see your work…
Added 10 days ago
Data Engineer, Marketing Tech BI, Stores Finance Analytics & Insights
Amazon
Seattle, WA
…each other. Our ultimate goal is to build a robust/scalable data infrastructure and automated reporting system to empower users have maximum flexibility to play with the data in order to…
Added 10 days ago
Data Engineer, Partner Experience
Amazon
Seattle, WA

Anthropic

Data Engineer, GTM Systems

San Francisco, CA, United States
New York City, NY, United States
Seattle, WA, United States

$270,000 - $345,000 USD

Apply About employer

Applications open in a new tab.

Job details

Pay: $270,000 - $345,000 USD
Posting language: English
Posted: Oct 30, 2026

Original job description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic's go-to-market teams are scaling quickly, and the decisions they make, from who to sell to and how to cover them to where to invest next, are only as good as the intelligence and infrastructure underneath them. As a Data Engineer on the GTM Systems data foundations team, you'll help build that layer: the data products that give sellers, operators, and analysts a rich, current, and trusted picture of the market, and the engineering rigor that lets our GTM systems run reliably as the business grows.

This is an engineering role that goes beyond pipelines. You'll treat GTM data as a product and a platform: built once, kept current, and available wherever people work. Alongside the build, you'll help shape what the data means: how attributes are defined, which sources are trusted, and how the business puts them to use. The role sits at the intersection of the sales organization, the data organization, and the systems that data flows through. You'll partner closely with Sales Strategy and Operations, Finance, Data Science, and the central data engineering team.

Key responsibilities

• Bring disparate internal and external sources together: orchestrate, model, and normalize first-party product and revenue data alongside third-party data into one usable understanding of the company landscape

• Build and maintain identity and entity resolution, so every source attaches to one trusted record for each company and the relationships between companies are clear

• Help build the canonical layer where key attributes are defined once and mean the same thing everywhere, with clear sourcing logic, provenance, and freshness

• Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams prioritize and act, held to the same quality bar as any other source

• Deliver that intelligence to the surfaces where teams work, including the CRM, and bring production discipline to how data moves through those systems

• Operate what you build as a living system, with observability, data quality, cost, security, and access controls designed in, so problems surface before the field sees them

• Partner with the owners of GTM processes such as planning, segmentation, and routing to settle definitions, make clear commitments, and communicate tradeoffs

• Make the platform easy for other teams to build on, so work is contributed once and not rebuilt in silos

Minimum qualifications

• Experience as a data engineer or analytics engineer building and operating production pipelines and data models

• Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse

• Experience making messy data from many sources usable, including record matching, deduplication, and reconciling conflicting values

• Familiarity with go-to-market data and the CRM systems it flows through

• Judgment beyond the pipeline: weighing data sources, shaping definitions with business partners, and making calls on data quality

• Clear written and verbal communication with technical and non-technical partners

• Regular hands-on use of AI tools in your engineering work

Preferred qualifications

• 5+ years of experience in data engineering, analytics engineering, or GTM data roles

• Experience building a shared data product or platform that several teams depend on and contribute to

• Experience with company data such as firmographics, corporate hierarchies, or master data management

• Experience using LLMs inside data pipelines and evaluating their output

• Hands-on Salesforce experience, including working at large data volumes

• Experience supporting GTM planning processes such as territory design, segmentation, or scoring

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$270,000 - $345,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links - visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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More about this job

Skills

people@work
Sales
Data engineering
Data models
SQL
Python
Data warehouse
Communication skills
Data management
Salesforce
Logistics

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