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Urgent! Federal Data Engineering Co-Op: 2026 Job Opening In University Park – Now Hiring IBM
**Introduction**
A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world.
Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting.
You will be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients.
Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
**Your role and responsibilities**
During your co-op experience, you can enhance your knowledge and gain professional experience by working on client projects.
This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career.
At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship.
As a co-op, you'll experience this culture and have the opportunity to advance to our associate program based on results and performance.
Work experiences you could be exposed to:
* Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors.
* Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data.
Evaluate model results contributing to data-driven insights.
* Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings.
* Tech-Driven Data Transformer: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers.
Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit
These positions are anticipated to start in summer 2026.
Candidates must have the ability to obtain and maintain a Federal Security clearance while in IBM Federal Consulting.
The below requirements are guidelines.
If you have transferable skills, we encourage you to apply for this role.
**Required technical and professional expertise**
* Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, IST, or a related field.
* Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment.
* Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints.
* Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges.
* Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation.
* Ability to work in-office, on-site in State College, PA during the academic year.
* Ability to work up to 20 hours per week when classes are in session (e.g., fall and spring semesters) and availability to potentially work up to 40 hours per week during academic breaks (e.g., summer).
* Must have the ability to obtain and maintain a Federal clearance, if necessary, for your client assignment.
**Preferred technical and professional experience**
* Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications.
* General familiarity with databases, data-engineering tools (SQL, spark) and cloud platforms (e.g., IBM Cloud, Azure, AWS).
Experience with NLP/LLM/GenAI is a plus.
* Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics.
IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Unlock Your Federal Data Potential: Insight & Career Growth Guide
Real-time Federal Data Jobs Trends in University Park, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Federal Data in University Park, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 49078 jobs in United States and 393 jobs in University Park. This comprehensive analysis highlights market share and opportunities for professionals in Federal Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! IBM is currently hiring and seeking a Federal Data Engineering Co Op: 2026 to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at IBM adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Federal Data Engineering Co Op: 2026 Jobs United States varies, but the pay scale is rated "Standard" in University Park. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Federal Data Engineering Co Op: 2026 typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Federal Data Engineering Co Op: 2026 interview at IBM, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the IBM's products or services and be prepared to discuss how you can contribute to their success.
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