Test Engineer

Steampunk • McLean, VA

1d • $90,000 - $130,000

About The Position

As a Test Engineer, you will work with our growing DevSecOps practice delivering quality assurance services to support application, cloud, and data systems development. We are looking for candidates with 3-5 years experience with experience with quality assurance and test automation practices in an Agile/DevSecOps work environment. Contributions Understand stakeholder and business needs and convey requirements clearly to developers, data engineers, and delivery teams Partner with product design, engineering, and data teams to define testing scope, parameters, and strategies Write and maintain test plans, test cases, test procedures, defect reports, and final QA artifacts to support traceability and auditability Manage test data requirements, including test data architecture definitions and requests Troubleshoot issues, analyze test results, and continuously streamline and improve testing procedures Test and examine code, data pipelines, and system components written by others and analyze results, including three or more of the following: Data validation testing Functional testing Performance and load testing Usability testing Accessibility (Section 508) testing Support quality assurance for modern data platforms, including data ingestion pipelines, transformation workflows, analytics layers, and data-serving interfaces Validate data accuracy, completeness, consistency, and business logic across the full data lifecycle (ingest → transform → store → serve) Develop and execute test cases for ETL/ELT pipelines, batch and streaming workflows, and data integrations across cloud and on-prem environments Perform data reconciliation and source-to-target validation to ensure expected outcomes and correctness Participate in testing of analytics, dashboards, and reports to ensure metrics, calculations, and aggregations align with documented definitions Collaborate with data engineers and architects to understand data models, schemas, transformation logic, and schema evolution, ensuring changes do not introduce regressions or break downstream consumers Establish, enhance, and maintain automated testing tools, infrastructure, and scripts, including automation for functional, performance, security, and data validation testing Support automation of data tests, including regression tests, pipeline checks, and validation scripts integrated into CI/CD pipelines Automate and improve development, testing, deployment, and release processes in collaboration with DevSecOps teams Support testing of cloud-native platforms and services, including storage, compute, orchestration, containerized environments, and managed platform components Ensure that systems are safe and secure against cybersecurity threats Document the current (“as-is”) state of systems, perform gap analyses, and produce artifacts that articulate options and recommendations Leverage virtualization and containerization technologies to optimize testing of software and data systems Work with cross-functional teams to continuously improve QA, DevSecOps processes, testing strategies, and tools for complex, data-intensive systems Provide regular status updates, test reporting, and knowledge sharing, including cross-training with DevOps and delivery team members Act as an individual contributor while mentoring more junior team members

Requirements

• Ability to obtain a U.S. government Security Clearance
• BS Degree in an IT field OR BS in a non-IT field and 2 years related IT experience
• 3 Years of Experience with Git SCM providers such as GitHub, GitLab, Bitbucket
• 3 Years of Experience with one or more programming or scripting languages
• 3 Years of application DevSecOps Experience with actual/active development experience in an Agile environment
• Experience utilizing docker containers and utilizing platforms such as Kubernetes
• 3 Years of Experience implementing test automation, using tools such as Selenium, Appium, Soap UI, RestAssured, Postman
• Experience integrating test automation including performance, security, and functional tests into CI/CD Pipelines
• Experience with performance and load testing
• Experience in one or more cloud computing environments (e.g. AWS, Azure, or GCP)
• Experience validating data accuracy, completeness, and consistency across application or data workflows
• Experience testing data-intensive systems, integrations, or analytics-driven applications
• Ability to design and execute test cases that validate business logic, data transformations, and system outputs
• Strong analytical and problem-solving skills, including the ability to investigate and diagnose data or system issues

Nice To Haves

• Certifications:
• CAST (Certified Associate in Software Testing)
• International Software Testing Qualifications Board (ISTQB) Certification
• Excellent written and verbal communication skills, with interpersonal and collaborative abilities
• Experience with documenting an as-is state of the environment, perform a gap analysis, and produce artifacts that articulate options and recommendations
• Experience supporting data platforms, pipelines, or analytics solutions (e.g., ETL/ELT workflows, batch or streaming data systems)
• Experience automating data validation or regression testing and integrating data tests into CI/CD workflows
• Familiarity with testing in analytics-enabled systems, including validation of inputs, outputs, or downstream impacts

Responsibilities

• Understand stakeholder and business needs and convey requirements clearly to developers, data engineers, and delivery teams
• Partner with product design, engineering, and data teams to define testing scope, parameters, and strategies
• Write and maintain test plans, test cases, test procedures, defect reports, and final QA artifacts to support traceability and auditability
• Manage test data requirements, including test data architecture definitions and requests
• Troubleshoot issues, analyze test results, and continuously streamline and improve testing procedures
• Test and examine code, data pipelines, and system components written by others and analyze results, including three or more of the following:
• Data validation testing
• Functional testing
• Performance and load testing
• Usability testing
• Accessibility (Section 508) testing
• Support quality assurance for modern data platforms, including data ingestion pipelines, transformation workflows, analytics layers, and data-serving interfaces
• Validate data accuracy, completeness, consistency, and business logic across the full data lifecycle (ingest → transform → store → serve)
• Develop and execute test cases for ETL/ELT pipelines, batch and streaming workflows, and data integrations across cloud and on-prem environments
• Perform data reconciliation and source-to-target validation to ensure expected outcomes and correctness
• Participate in testing of analytics, dashboards, and reports to ensure metrics, calculations, and aggregations align with documented definitions
• Collaborate with data engineers and architects to understand data models, schemas, transformation logic, and schema evolution, ensuring changes do not introduce regressions or break downstream consumers
• Establish, enhance, and maintain automated testing tools, infrastructure, and scripts, including automation for functional, performance, security, and data validation testing
• Support automation of data tests, including regression tests, pipeline checks, and validation scripts integrated into CI/CD pipelines
• Automate and improve development, testing, deployment, and release processes in collaboration with DevSecOps teams
• Support testing of cloud-native platforms and services, including storage, compute, orchestration, containerized environments, and managed platform components
• Ensure that systems are safe and secure against cybersecurity threats
• Document the current (“as-is”) state of systems, perform gap analyses, and produce artifacts that articulate options and recommendations
• Leverage virtualization and containerization technologies to optimize testing of software and data systems
• Work with cross-functional teams to continuously improve QA, DevSecOps processes, testing strategies, and tools for complex, data-intensive systems
• Provide regular status updates, test reporting, and knowledge sharing, including cross-training with DevOps and delivery team members
• Act as an individual contributor while mentoring more junior team members

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level