Engineering Trainee

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

Eligibility Criteria 

• Qualification: UG/PG in Computer Science, IT, or related technical disciplines.
  
• Batch: 2025 & 2026 graduates.
  
• Academic Score: Minimum CGPA 3.0 (no backlogs).
  
• Candidates must 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, with hands-on coding experience.
  
• Solid understanding of core Computer Science fundamentals: object-oriented design and analysis (OOA/OOD), algorithm design, data structures, debugging, and analytical reasoning.
  
• Passion for software development best practices, clean code, and developing innovative ideas.
  
• Interest, curiosity, and openness to learning modern data stack tools and AI frameworks on the fly.
  
• Demonstrable track record of handling ambiguous or undefined problems, prioritizing tasks, thinking abstractly, and delivering results in a dynamic environment.
  
• Ability to work independently and multi-task effectively under performance-driven conditions.
  
• Excellent verbal, written, and interpersonal communication skills to effectively articulate technical challenges and solutions to both business and engineering stakeholders.
  
• Proficiency with MS Office tools and developer productivity suites.
  
• Willingness to work 5 days a week from our Schaumburg office location. 
  

Responsibilities:

• Involvement across the full software and data development lifecycle - including requirements gathering, system architecture, coding, testing, documentation, deployment, ongoing optimization, and maintenance for both internal initiatives and global client engagements.
  
• Gain hands-on exposure to Large Language Models (LLMs), prompt engineering, fine-tuning concepts, and LLM orchestration tools.
  
• Assist in designing and deploying autonomous AI agents and multi-agent workflows to automate enterprise processes.
  
• Adhere to AI safety guidelines, ethical AI practices, data privacy controls, and token/compute cost optimization (FinOps).
  
• Execute full lifecycle application development, translating functional specifications into robust technical designs and well-architected code.
  
• Perform software analysis, requirements analysis, system risk evaluations, code metrics identification, and software reliability testing.
  
• Integrate software components, third-party APIs, and application modules 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 and application environments.
  
• Participate in specification and peer code reviews to ensure alignment with architectural guidelines, security benchmarks, and quality standards.
  
• Collaborate in agile teams, provide project status updates, and continuously adapt to shifting project priorities in high-pressure scenarios.
  
• Help build and maintain scalable, fault-tolerant, low-cost distributed storage, indexing, and query structures across modern cloud lakehouse frameworks.
  
• Develop, test, and schedule automated data transformation pipelines and ETL/ELT workflows to process structured and unstructured data at scale.
  
• Maintain high engineering standards including clean, modular, and self-sustaining code, unit testing, continuous integration/continuous deployment (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 Management Systems Cloud Platforms or Data/AI Engineering.
  

Why Join BBI?

• Mentor to guide your deliverables, provide feedback, and accelerate your growth.
  
• Work with modern Cloud, Data Analytics, and Agentic AI platforms.
  
• Collaborative, fast-paced, and innovation-driven environment with measurable business impact.
  
• Real-world project ownership and continuous learning opportunities from day one.