Federal Data Engineering Co-Op: 2027

Launch your career like an IBMer Every IBMer has a story. For many, it started with an internship. As an IBM co-op, you won't just gain experience - you'll start thinking, working, and growing like an IBMer. From day one, you'll contribute to real client projects across diverse industries, working alongside experienced IBMers who are invested in your success. You'll be challenged, supported, and inspired, often all in the same day. You'll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM's Associate Program, launching careers at one of the world's most innovative technology and consulting companies. About the Team In this role, you will join IBM's US Federal team to deliver secure, mission-critical technology solutions for government agencies. You'll work with federal, state, and local clients while developing specialized expertise in government compliance and security standards. This role offers unique career growth in a high-demand sector where your contributions directly impact public services and government missions. 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 Transformation: 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. The primary internship program dates are May 24, 2027 and end May 26, 2028. This role requires candidates to work in University Park, PA. Candidates must have the ability to obtain and maintain a Federal security clearance while in IBM Consulting-Federal. To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You’ll receive a status update email for each application, so be sure to check your IBM Careers account regularly — it’s the best way to get a centralized view of which roles you have active applications against. 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 University Park, 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). 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.