Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced
Quality Engineer
, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.
Work You'll Do/Responsibilities
- Design, develop, and maintain automated test cases/scripts for data platform components (pipelines, models, database changes, and governance controls)
- Execute automated test suites and perform targeted regression testing for releases impacting In Stock and BOH
- Build and manage test coverage for key data quality dimensions (accuracy, completeness, timeliness, consistency)
- Use Selenium where applicable to automate validation of user-facing workflows/tools that interact with data assets
- Produce clear test execution reports (pass/fail trends, defect summaries, root-cause notes, retest evidence) for stakeholders
- Partner with data engineers/DBAs/architects to define acceptance criteria, test data needs, and defect triage/resolution workflows
- Continuously improve automation stability (reducing flaky tests), maintainability, and execution speed
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- 3+ years of proven QA/QE experience
- Experience with test case execution and test case/script development in a structured QA (quality assurance) process
- Strong background in testing automation, including designing reusable, maintainable automated suites
- Hands-on experience with Selenium for automated testing (including troubleshooting and stabilization techniques)
- Ability to document results and communicate quality risks clearly to technical and non-technical stakeholders
- Familiarity working with data-centric teams (data engineering, database administration, data governance) is a plus
- Proven ability to provide technical guidance (mentoring, review leadership, and solution direction) within a delivery team
- Ability to provide technical guidance (mentoring, code reviews, solution direction) within a delivery team
- Demonstrated technical leadership across teams and stakeholders
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Information for applicants with a need for accommodation: https://www2\.deloitte.com/us/en/pages/careers/articles/join\-deloitte\-assistance\-for\-disabled\-applicants.html