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Remote Sdet Jobs in Bothell, WA (NOW HIRING)

SDET

Seattle, WA · On-site +1

$57 - $73.50/hr

SDET Location - Seattle, WA - Remote Contract About the Role: We are seeking a highly skilled SDET to join our Master Data Management (MDM) team called PLIM. The ideal candidate will have strong ...

We are looking for a Sr. SDET Automation Engineer who is passionate in driving test automation strategy and execution across software and hardware products to ensure quality. You are a QA expert ...

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How much do remote sdet jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for remote sdet in Bothell, WA is $62.04, according to ZipRecruiter salary data. Most workers in this role earn between $54.47 and $70.24 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote SDET, and why are they important?

To thrive as a Remote SDET (Software Development Engineer in Test), you need expertise in programming languages like Java or Python, strong knowledge of software testing methodologies, and a relevant degree in computer science or a related field. Familiarity with automation frameworks (such as Selenium or Cypress), CI/CD tools, and version control systems like Git is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential for collaboration and troubleshooting in a remote environment. These skills ensure high-quality software delivery, efficient automation, and seamless teamwork across distributed teams.

What is a Remote SDET?

A Remote SDET, or Software Development Engineer in Test, is a professional who works remotely to design, develop, and maintain automated testing frameworks and tools. Their main goal is to improve the quality and reliability of software products by writing and executing automated tests. SDETs often collaborate closely with developers, QA teams, and product managers to ensure that software meets the required standards before release. Working remotely, they utilize communication and collaboration tools to stay connected with their teams and manage tasks efficiently.

What is the difference between Remote Sdet vs Remote Software Developer?

AspectRemote SdetRemote Software Developer
Primary FocusTesting, automation, quality assuranceApplication development, coding, feature implementation
Required SkillsProgramming, testing tools, automation frameworksProgramming, software design, problem-solving
Work EnvironmentTesting labs, CI/CD pipelines, QA teamsDevelopment teams, project management tools
Common CertificationsISTQB, CSTE, CSQAMicrosoft, AWS, Oracle certifications

Remote Sdet roles focus on ensuring software quality through testing and automation, while Remote Software Developer roles emphasize building and coding applications. Both roles require programming skills, but their core responsibilities differ, making them distinct career paths within the software industry.

What Does a Remote SDET Do?

As a remote SDET, which stands for software development engineer in test, your responsibilities involve the performance, security, and general testing of software applications and programs. Even though you work from home to complete your duties, you are present throughout the product design process, from development to testing to the end product. You typically help develop programs, provide assistance for a framework, design applications, and use automation tools to test the final product. You must also understand the guidelines and standards for the finished product. Many remote SDET jobs are in demand in industries such as advertising, hospitality, entertainment, finance, IT, and gaming.

How does a Remote SDET typically collaborate with development and QA teams across different time zones?

As a Remote SDET (Software Development Engineer in Test), you will often work with globally distributed teams, which means effective communication and collaboration are key. You’ll use tools such as Slack, Jira, and video conferencing to coordinate test plans, report bugs, and discuss automation strategies with developers and QA engineers. Regularly scheduled stand-ups and asynchronous documentation help ensure that everyone stays aligned, even when working in different time zones. Emphasizing clear written communication and proactive updates is crucial to overcoming remote collaboration challenges.
What cities near Bothell, WA are hiring for Remote Sdet jobs? Cities near Bothell, WA with the most Remote Sdet job openings:

$57 - $73.50/hr

Full-time

Posted 2 days ago


Job description

SDET
Location - Seattle, WA - Remote
Contract
About the Role:
We are seeking a highly skilled SDET to join our Master Data Management (MDM) team called PLIM.
The ideal candidate will have strong expertise in test automation using Python frameworks, experience in the retail domain, and a deep understanding of Java microservices architecture.
You will play a critical role in ensuring the quality, scalability, and performance of our MDM platform while driving automation excellence across the team.
Key Responsibilities:
Test Automation & Framework Development
Design, develop, and maintain robust Python-based test automation frameworks using pytest and Great Expectations
Build and enhance data validation frameworks for MDM pipelines ensuring data quality and integrity
Develop automated test suites for API, integration, regression, and end-to-end testing
Master Data Management Testing
Validate data accuracy, completeness, and consistency across MDM domains (Product, Customer, Vendor, Location)
Implement data quality checks and automated validation rules using Great Expectations
Test data ingestion, transformation, and synchronization processes across systems
Java Microservices Testing
Test and validate Java-based microservices architecture including REST APIs and event-driven systems
Collaborate with developers on unit testing, integration testing, and contract testing
Ensure seamless deployment and testing within CI/CD pipelines
Performance & Scale Testing
Design and execute performance and load testing strategies for high-volume retail data processing
Identify bottlenecks and work with engineering teams to optimize system performance
Ensure MDM platform handles peak retail loads (seasonal spikes, promotional events)
Collaboration & Quality Advocacy
Partner with development, data engineering, and product teams to embed quality throughout the SDLC
Participate in code reviews, design discussions, and architecture decisions
Mentor team members on test automation best practices and frameworks
Required Qualifications:
Overall Experience
5+ years in SDET or Test Automation role
Retail Domain
3+ years working in retail industry
Python Automation
3+ years hands-on experience
Java Microservices
2+ years testing experience
Technical Skills:
Automation & Frameworks
Strong proficiency in Python with expertise in pytest framework
Hands-on experience with Great Expectations for data quality validation
Experience with BDD frameworks (Behave, pytest-bdd) is a plus
Master Data Management
Understanding of MDM concepts, data governance, and data quality principles
Experience testing MDM platforms (Informatica MDM, Reltio, Stibo, or similar)
Knowledge of retail master data domains: Product, Customer, Vendor, Store/Location
Java & Microservices
Strong understanding of Java microservices architecture
Experience testing REST APIs using tools like Postman, REST Assured, or requests library
Familiarity with Spring Boot, Kafka, and event-driven architectures
Performance & Scalability
Experience with performance testing tools (JMeter, Locust, Gatling)
Understanding of scalability testing for high-volume data systems
Knowledge of monitoring tools (Grafana, Datadog, Splunk)
DevOps & CI/CD
Experience with CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps)
Proficiency in Git version control
Familiarity with containerization (Docker, Kubernetes)
Databases & Data Technologies
Strong SQL skills for data validation and query optimization
Experience with databases: PostgreSQL, Oracle, SQL Server
Knowledge of cloud data platforms (AWS, Azure, GCP) is a plus
Preferred Qualifications:
Experience with retail MDM implementations (Product Information Management, Customer Data Platform)
Knowledge of data integration tools (Informatica, Talend, Apache NiFi)
Familiarity with GraphQL API testing
Experience with contract testing (Pact)
Understanding of data mesh or data lakehouse architectures
Cloud certifications (AWS, Azure) are a plus
Retail Domain Expertise
The ideal candidate should have experience with:
Tools & Technologies:
Python, Java, SQL
Test Frameworks
pytest, Great Expectations, JUnit, TestNG
API Testing
Postman, REST Assured, requests, httpx
Performance
JMeter, Locust, Gatling
CI/CD
Jenkins, GitLab CI, Azure DevOps
Containers
Docker, Kubernetes
Cloud
AWS, Azure, GCP
Databases:
PostgreSQL, Oracle, SQL Server, MongoDB
Messaging
Kafka, RabbitMQ
Monitoring
Grafana, Datadog, Splunk, ELK Stack