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Remote Splunk Engineer Jobs in Bothell, WA (NOW HIRING)

Azure Cloud Infrastructure Engineer

Seattle, WA ยท Remote

$57 - $76.25/hr

Remote, USA Let's create our future together at The AES Group! About The AES Group: The AES Group ... Infrastructure and Application logging and monitoring technologies (New Relic, Splunk, etc.) What ...

Principal Software Engineer

Seattle, WA ยท On-site +1

$202K - $299K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... LogStash, Splunk, Zipkin, New Relic etc Wage Transparency Pay for this position is based on a ...

Customer Sales Engineer

Seattle, WA ยท Remote

$100K - $130K/yr

SIEMs like Splunk; or other security stack tools). * Product Expert Mindset: A passion for becoming ... Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not ...

SIEMs like Splunk; or other security stack tools). * Product Expert Mindset: A passion for becoming ... Fully remote working environment: While we have physical offices in Sydney & Hobart, we do not ...

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Remote Splunk Engineer information

What are the typical daily responsibilities of a Remote Splunk Engineer?

A Remote Splunk Engineer typically manages Splunk deployments, ingests and normalizes data from various sources, and creates dashboards and alerts to support security and operational teams. Daily tasks often include troubleshooting log sources, optimizing search queries, maintaining system health, and collaborating with IT security, DevOps, or infrastructure teams to meet business objectives. Regular communication with stakeholders is also important to understand monitoring needs and proactively address incidents or gaps in visibility. Most remote Splunk engineers use virtual collaboration tools and ticketing systems to organize work and ensure seamless team integration, even from a distance.

What is a Remote Splunk Engineer job?

A Remote Splunk Engineer is responsible for designing, implementing, and managing Splunk solutions while working remotely. They configure data ingestion, create dashboards, optimize system performance, and troubleshoot issues to ensure effective log management and security monitoring. This role often involves working with security teams, DevOps, or IT operations to analyze system performance and detect anomalies. Strong knowledge of Splunk architecture, search queries, and scripting is essential.

What are the key skills and qualifications needed to thrive in the Remote Splunk Engineer position, and why are they important?

To thrive as a Remote Splunk Engineer, you need expertise in Splunk architecture, log management, data analysis, and scripting or automation, typically supported by a degree in computer science or a related field. Familiarity with Splunk Enterprise, Splunk Cloud, ITSI, and certifications like Splunk Certified Power User or Admin are highly valued. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for remote collaboration and troubleshooting. These qualifications enable you to efficiently implement security monitoring, deliver actionable insights, and support distributed teams in diverse technical environments.

What job categories do people searching Remote Splunk Engineer jobs in Bothell, WA look for? The top searched job categories for Remote Splunk Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Remote Splunk Engineer jobs? Cities near Bothell, WA with the most Remote Splunk Engineer job openings:

$57 - $73.50/hr

Full-time

Posted 28 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