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BBI is a global data engineering consulting firm that empowers clients to effectively scale and modernize. We combine engineering fundamentals and innovative tools to execute business-critical, end-to-end projects on-time and on-budget. We offer expert services across Data Integration, Data Modernization, Data Migration, Data Architecture, Platform Support, and Application Services. Our goal is to provide business value in the most effective way for our clients so clients can focus on growth.

Headquartered in Schaumburg, Illinois with officesacross India and Canada, BBI is a technology consulting firm that helpsenterprises modernize data ecosystems and accelerate digital transformationthrough Data Engineering, Cloud, Analytics, AI, and Enterprise Technologysolutions. We foster a culture of innovation, collaboration, and continuouslearning where you work alongside experienced professionals to solve meaningfulbusiness challenges.

Location: Schaumburg (5 days' work-from-office)

Qualification: UG/PG(CS/IT or related fields)

Employment Type :Full-time

As a Trainee Engineer, you will build real-worldenterprise solutions using cutting-edge Cloud, Data, and Agentic AItechnologies. You'll receive dedicated mentorship, gain hands-on projectexposure, and fast-track your career in a high-growth, performance-drivenenvironment.

• Qualification:UG/PGin Computer Science, IT, or related technical disciplines.
• Batch:2025 & 2026 graduates.
• Candidatesmust be legally authorized to work in the United States

• 2025 and 2026 Undergraduates or Postgraduates in Computer Science,Information Technology, or related technical disciplines.
• Minimum aggregate of CGPA 3.0 in graduation/post-graduation.
• Sound programming skills in Python, Java, C/C++, or SQL, withhands-on coding experience.
• Solid understanding of core Computer Science fundamentals:object-oriented design and analysis (OOA/OOD), algorithm design, datastructures, debugging, and analytical reasoning.
• Passion for software development best practices, clean code, anddeveloping innovative ideas.
• Interest, curiosity, and openness to learning modern data stacktools and AI frameworks on the fly.
• Demonstrable track record of handling ambiguous or undefinedproblems, prioritizing tasks, thinking abstractly, and delivering resultsin a dynamic environment.
• Ability to work independently and multi-task effectively underperformance-driven conditions.
• Excellent verbal, written, and interpersonal communication skillsto effectively articulate technical challenges and solutions to bothbusiness and engineering stakeholders.
• Proficiency with MS Office tools and developer productivity suites.
• Willingness to work 5 days a week from our Schaumburg officelocation .

• Involvement across the full software and data development lifecycle- including requirements gathering, system architecture, coding, testing,documentation, deployment, ongoing optimization, and maintenance for bothinternal initiatives and global client engagements.
• Gain hands-on exposure to Large Language Models (LLMs), promptengineering, fine-tuning concepts, and LLM orchestration tools.
• Assist in designing and deploying autonomous AI agents andmulti-agent workflows to automate enterprise processes.
• Adhere to AI safety guidelines, ethical AI practices, data privacycontrols, and token/compute cost optimization (FinOps).
• Execute full lifecycle application development, translatingfunctional specifications into robust technical designs andwell-architected code.
• Perform software analysis, requirements analysis, system riskevaluations, code metrics identification, and software reliabilitytesting.
• Integrate software components, third-party APIs, and applicationmodules into fully functional enterprise systems.
• Develop software verification plans, quality assurance procedures,system layouts, flowcharts, and technical documentation.
• Investigate, debug, and resolve issues in production andapplication environments.
• Participate in specification and peer code reviews to ensurealignment with architectural guidelines, security benchmarks, and qualitystandards.
• Collaborate in agile teams, provide project status updates, andcontinuously adapt to shifting project priorities in high-pressurescenarios.
• Help build and maintain scalable, fault-tolerant, low-costdistributed storage, indexing, and query structures across modern cloudlakehouse frameworks.
• Develop, test, and schedule automated data transformation pipelinesand ETL/ELT workflows to process structured and unstructured data atscale.
• Maintain high engineering standards including clean, modular, andself-sustaining code, unit testing, continuous integration/continuousdeployment (CI/CD), version control, and release management.

• Previous technical internship experience in software development,data engineering, or AI/ML domains.
• Industry certifications in Python, Java, SQL, Database ManagementSystems Cloud Platforms or Data/AI Engineering.

• Mentor to guide yourdeliverables, provide feedback, and accelerate your growth.
• Work with modernCloud, Data Analytics, and Agentic AI platforms.
• Collaborative,fast-paced, and innovation-driven environment with measurable businessimpact.
• Real-world projectownership and continuous learning opportunities from day one.