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Pytest Jobs in Seattle, WA (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

SDET

Seattle, WA · On-site +1

$57 - $73.50/hr

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 ...

Accord Technologies Inc.

QA Test Engineer ETL

Seattle, WA · On-site

$47 - $64/hr

Experience with data testing frameworks (e.g., Great Expectations, dbt tests, pytest, or custom frameworks). * Hands-on experience testing data pipelines on AWS ( Glue, Spark, S3, Athena, Redshift)

Salesforce, Inc.

Principal Software Engineer

Bellevue, WA · On-site

$152K - $204K/yr

Hands-on experience with automated testing including unit, integration, and functional testing (JUnit, pytest, Selenium, Playwright), and a track record of defining test strategy for complex, cross ...

Salesforce

Principal Software Engineer

Bellevue, WA · On-site

$152K - $204K/yr

Hands-on experience with automated testing including unit, integration, and functional testing (JUnit, pytest, Selenium, Playwright), and a track record of defining test strategy for complex, cross ...

SmithRx

Senior Staff Automation Engineer

Seattle, WA · On-site

$118K - $155K/yr

Experience with API automation frameworks such as Pytest or REST Assured * Experience with automation frameworks such as Selenium, Cypress, or Playwright * Familiarity with Page Object Model for UI ...

All JobsPytest JobsPytest Jobs in Seattle, WA

Pytest information

See Seattle, WA salary details

$6

$38

$71

How much do pytest jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for pytest in Seattle, WA is $38.51, according to ZipRecruiter salary data. Most workers in this role earn between $24.90 and $51.15 per hour, depending on experience, location, and employer.

What is Pytest and what is it used for?

Pytest is a popular testing framework for Python that allows developers to write simple as well as scalable test cases. It is widely used for unit testing, functional testing, and integration testing in Python projects. Pytest makes it easy to write small tests, yet it scales to support complex functional testing for applications and libraries. Its rich plugin architecture and simple syntax make it a preferred choice for many Python developers.

What are the key skills and qualifications needed to thrive as a Pytest Automation Engineer, and why are they important?

To excel as a Pytest Automation Engineer, you need strong programming skills in Python, a solid understanding of software testing principles, and experience with test automation frameworks. Familiarity with Pytest, continuous integration tools (like Jenkins), and version control systems (such as Git) is typically required, along with relevant certifications in software testing or Python development. Attention to detail, analytical thinking, and effective communication help you identify issues quickly and collaborate across development teams. These abilities are crucial for ensuring software quality, speeding up release cycles, and maintaining robust, scalable test systems.

How does a Pytest automation engineer typically collaborate with developers and QA teams during a software release cycle?

As a Pytest automation engineer, you will often work closely with both developers and QA professionals throughout the software release cycle. You’ll be responsible for creating and maintaining test suites using Pytest, reviewing code changes, and ensuring that automated tests cover new features or bug fixes. Regular communication is essential, as you’ll need to report test results, discuss defects, and coordinate on test coverage or continuous integration setup. This collaborative approach helps maintain high code quality and smooth releases.

What is the difference between Pytest vs Selenium Tester?

AspectPytestSelenium Tester
Primary FocusAutomated testing framework for Python codeWeb application testing using browser automation
Required SkillsPython programming, testing frameworksWeb technologies, Selenium WebDriver, scripting
Work EnvironmentSoftware development, QA teams, CI/CD pipelinesWeb testing, QA teams, browser environments
Common CertificationsPython certifications, testing certificationsSelenium certifications, QA certifications

Pytest is a Python testing framework used primarily for unit and integration testing of Python applications. Selenium Tester specializes in automating web browsers to test web applications. While both roles involve testing, Pytest focuses on code-level testing within Python projects, whereas Selenium Testers focus on browser-based testing of web interfaces. Understanding these differences helps teams assign the right tools and skills for their testing needs.

What job categories do people searching Pytest jobs in Seattle, WA look for? The top searched job categories for Pytest jobs in Seattle, WA are:
Pytest jobs near you

SDET

Futran Tech Solutions Pvt. Ltd.

Seattle, WA • On-site, Remote

$57 - $73.50/hr

Full-time

Posted 25 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

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