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.
Blackbuck Insights LLC Chicago, Illinois, USA Office
Chicago, IL, United States
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What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
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- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
