Engineering Trainee

Blackbuck Insights • Schaumburg, IL

2d • Onsite

About The Position

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.

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.

Nice To Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Associate degree