Data Engineer Co-op 2026 - Data Services - Financial Services
IBM · University Park, TX
- On site
- Full-time
- $50,000 / year
- University Park, TX
Job highlights
- Gain professional experience on client projects.
- Develop data integration and pipeline skills.
- Utilize Python for data transformation.
- Receive mentorship and coaching.
- Explore opportunities for advancement.
About the role
About the Role
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 changes 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 for success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in ground-breaking 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, 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 could 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.
Key Skills/Competency
- Data Engineering
- Python
- Data Pipelines
- ETL
- Cloud Platforms
- SQL
- Spark
- Snowflake
- Statistical Analysis
- Machine Learning
Skills & topics
- Data Engineer
- Co-op
- Internship
- Python
- Data Integration
- Data Pipelines
- ETL
- Cloud
- SQL
- Spark
- IBM
- Financial Services
- Computer Science
- Statistics
- Engineering
How to get hired
- Tailor your resume: Highlight relevant coursework and projects in Computer Science, Statistics, or Mathematics. Emphasize any scripting language experience, especially Python.
- Showcase your passion: Detail personal or academic projects involving data analysis, data mining, or machine learning. Include hackathons or relevant publications.
- Demonstrate soft skills: In your application and interviews, emphasize leadership experience, active listening, adaptability, and a growth mindset.
- Prepare for technical questions: Be ready to discuss your familiarity with databases, data engineering tools like SQL or Spark, and cloud platforms.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the work arrangement for the Data Engineer Co-op at IBM?
- While the job description doesn't explicitly state the work arrangement, co-op roles at IBM often provide opportunities for both remote and hybrid work. It is best to clarify this during the application process or interview.
- What technical skills are most important for the Data Engineer Co-op role at IBM?
- IBM prioritizes familiarity with scripting languages like Python, a strong computer science foundation, and general knowledge of databases, data-engineering tools (SQL, Spark, Snowflake), and cloud platforms. Experience with machine learning libraries is a plus.
- What kind of projects can I expect to work on as a Data Engineer Co-op at IBM?
- As a Data Engineer Co-op, you can expect to work on client projects involving data integration, data cleansing, data modeling, and building data pipelines. You will utilize programming languages like Python and gain exposure to cloud platforms and ETL tools.
- What is the preferred educational background for this IBM co-op position?
- IBM prefers candidates currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a closely related field. A Bachelor's Degree is generally expected.
- How can I stand out when applying for the Data Engineer Co-op at IBM?
- To stand out, highlight your initiative, passion for learning, growth mindset, and any leadership or collaborative experiences. Demonstrating familiarity or interest in statistical analysis or data mining through projects is also beneficial.
- Does IBM offer career advancement opportunities after the co-op program?
- Yes, IBM emphasizes continuous learning and personal growth. Based on performance and results, co-op participants may have the opportunity to advance to IBM's Associate Program.