Trainee Data Crowd Compute Jobs in Illinois (NOW HIRING)

Job Description
Engineering Trainee
Location: Schaumburg (5 days' work-from-office)
Experience: Freshers (2025 - 2026 batch)
Qualification: UG/PG (CS/IT or related fields)
Employment Type: Full-time
About Blackbuck Insights (BBI)
Headquartered in Schaumburg, Illinois with offices across India and Canada, BBI is a technology consulting firm that helps enterprises modernize data ecosystems and accelerate digital transformation through Data Engineering, Cloud, Analytics, AI, and Enterprise Technology solutions. We foster a culture of innovation, collaboration, and continuous learning-where you work alongside experienced professionals to solve meaningful business challenges.
The Role
As a Trainee Engineer, you will build real-world enterprise solutions using cutting-edge Cloud, Data, and Agentic AI technologies. You'll receive dedicated mentorship, gain hands-on project exposure, and fast-track your career in a high-growth, performance-driven environment.
Eligibility Criteria

• Qualification: UG/PGin Computer Science, IT, or related technical disciplines.
• Batch: 2025 & 2026 graduates.
• AcademicScore: Minimum CGPA 3.0 (no backlogs).
• Candidatesmust be legally authorized to work in the United States

Requirements:

• 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.

Responsibilities:

• 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.

Good to Have:

• 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.

Why Join BBI?

• 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.