Job details
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data 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
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
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Work you'll do/Responsibilities
- Develop and maintain custom code for ordering applications supporting Assisted Ordering workflows within the In Stock platform
- Provide technical guidance to the team through design walkthroughs, implementation direction, and engineering best practices
- Apply architecture design patterns and core software design patterns to improve maintainability, scalability, and testability
- Perform and lead code inspections/reviews, ensuring adherence to standards, security, and quality expectations
- Design and evolve database schemas and data access patterns to support ordering use cases and performance needs
- Implement and enhance application observability (logs, metrics, alerts) to improve monitoring and reduce time-to-detect/resolve issues
- Troubleshoot complex functional and performance issues, driving root cause analysis and preventive remediation
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
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
- 6+ years of proven date engineering experience
- Experience developing and supporting custom enterprise applications, ideally in ordering, inventory, or retail operations domains
- Strong knowledge of architecture design patterns and software design patterns with practical implementation experience
- Demonstrated experience with code inspection/review techniques (peer review, static analysis, quality gates)
- Solid database design skills (relational modeling, indexing, query optimization, transactional considerations)
- Hands-on experience with application observability (monitoring, logging, metrics, alerting; tracing 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
