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Data Classification Jobs in Seattle, WA (NOW HIRING)

Data Analyst

Everett, WA · On-site

$90K - $110K/yr

Data science skill set: knowledgeable in statistical modeling (e.g. linear and logistical regression, classification, clustering) and tooling (python, R, etc.) with broad domain applicability

Data Analyst

Redmond, WA · On-site

$42/hr

Data Analyst Location â Redmond, WA Duration â 12 months Experience Required: â Advanced Excel ... to this classification. Management retains the discretion to add or change the duties of the ...

Understanding of data classification, governance, and DSPM concepts * Familiarity with AI/LLM data risks and governance considerations (preferred) * Outstanding customer service skills and ability to ...

Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design. JOB REQUIREMENTS * Experience and training in cutting-edge research in machine ...

Director, Data Science

Bellevue, WA · On-site

$169K - $338K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

The amount you receive depends on your job classification and length of employment. It will meet or ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Data science skill set: knowledgeable in statistical modeling (e.g. linear and logistical regression, classification, clustering) and tooling (python, R, etc.) with broad domain applicability

Data science skill set: knowledgeable in statistical modeling (e.g. linear and logistical regression, classification, clustering) and tooling (python, R, etc.) with broad domain applicability

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Data Classification information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

How much do data classification jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data classification in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 per year, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In the field of data classification, high-paying roles such as Chief Data Officer or senior data science executives can earn around or above $1 million annually, especially in large corporations or tech firms. These positions typically require extensive experience, advanced skills in data management, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options.

What is the role of data classification?

Data classification is a key responsibility in data management roles, involving categorizing data based on sensitivity, importance, or usage to ensure proper handling and security. It helps organizations implement appropriate access controls, comply with regulations, and protect sensitive information effectively.

What are the key skills and qualifications needed to thrive in the Data Classification position, and why are they important?

To thrive in Data Classification, you need strong analytical skills, attention to detail, and a background in data management or information science, often supported by a relevant degree. Familiarity with data classification tools, data loss prevention (DLP) systems, and certifications such as Certified Information Systems Security Professional (CISSP) are commonly beneficial. Good communication, teamwork, and problem-solving skills help you excel in collaborating with IT, compliance, and business teams. These competencies are critical for accurately categorizing data, maintaining security standards, and ensuring regulatory compliance across an organization.

What is a Data Classification job?

A Data Classification job involves organizing and labeling data based on its sensitivity, importance, or type to ensure proper handling, security, and compliance. Professionals in this role categorize data according to predefined policies and frameworks, helping organizations safeguard sensitive information and optimize data management. They work closely with security, compliance, and IT teams to implement classification strategies and improve data governance.

What are the 4 types of data classification?

Data classification involves categorizing data based on its sensitivity and importance. The four common types are public, internal, confidential, and restricted data. Data classification helps organizations implement appropriate security measures and compliance protocols.

What are the typical challenges faced in a Data Classification role?

A common challenge in Data Classification is accurately identifying and categorizing large volumes of diverse and sometimes ambiguous data, which requires both technical proficiency and critical thinking. Balancing the need for data accessibility with strict security and compliance requirements can also pose difficulties. Collaboration with various departments, such as IT and legal, is often necessary to implement organization-wide classification policies and ensure consistent practices. By staying up-to-date with data protection regulations and evolving technology, professionals in this role can effectively address these challenges and contribute significantly to their organization’s information security strategy.

What is the highest paying data job?

Data scientists and data engineers are among the highest paying roles in data-related fields, often earning six-figure salaries depending on experience, location, and industry. Advanced skills in machine learning, big data tools, and programming languages like Python or SQL can further increase earning potential.
What are popular job titles related to Data Classification jobs in Seattle, WA? For Data Classification jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Classification jobs in Seattle, WA look for? The top searched job categories for Data Classification jobs in Seattle, WA are:
Infographic showing various Data Classification job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.
Sr. Software Dev Engineer, Leo AI Foundations

Sr. Software Dev Engineer, Leo AI Foundations

Amazon

Redmond, WA • Hybrid

$137K - $180K/yr

Full-time

Re-posted 9 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,972 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
This role is for a Senior Software Engineer who will design, implement, and operate globally distributed systems that enable Leo to achieve low single-digit-second query responses within a near real-time analytics layer or lakehouse, and to support agentic AI capabilities on top

You'll build these systems using the latest AWS technologies and best-in-industry software engineering practices.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S

as a refugee or granted asylum.
Key job responsibilities
- Architect and implement a scalable, cost-optimized S3-based Data Lakehouse that unifies structured and unstructured data from disparate sources.
- Architect and implement a scalable, cost-performance-optimized OLAP-based analytics layer
- Establish metadata management with automated data classification and lineage tracking.
- Design and enforce standardized data ingestion patterns with built-in quality controls and validation gates.
- Architect a centralized metrics repository that becomes the source of truth for all Leo metrics.
- Implement robust data quality frameworks with staging-first policies and automated validation pipelines.
- Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.
- Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails.
- Lead the design of semantic data models that balance analytical performance with AI retrieval requirements.
- Implement cross-domain federated query capabilities with sophisticated query optimization techniques.
- Architect a globally distributed vector database infrastructure capable of managing billions of embeddings with consistent sub-100ms retrieval times.
- Design and implement hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval.
- Establish automated compliance validation frameworks ensuring data handling meets Amazon's security standards.
A day in the life
This role is for a Sr. Software Development Engineer who will build new cloud services and APIs that facilitates and orchestrates simulation of software on Leo devices such as satellites, ground gateways, and customer terminals

You will be building low-latency, highly scalable architecture that are critical to getting high quality internet service to customers.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US