Entry-level engineering trainees will contribute across the software and data development lifecycle, including requirements analysis, architecture, coding, testing, deployment, documentation, and maintenance. They will gain hands-on experience with cloud, data engineering, LLMs, prompt engineering, autonomous AI agents, ETL/ELT pipelines, distributed data systems, APIs, CI/CD, and software quality practices. The role requires collaboration, problem-solving, communication, adaptability, and full-time work from the Schaumburg office.
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/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.
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