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.