2027 Data Engineering & Analytics Program
About The Position
As a Data Engineering & Analytics Intern, you will collaborate closely with machine learning experts, technologists, product managers, and other informatics analysts to address complex business challenges. Your role involves identifying relevant data to collect and, together with technologists, devising methods to extract this information. You will transform raw data into actionable business insights, explore various data visualization and summation techniques to communicate key findings in applied analytics, and ensure adherence to best practices for capturing design notes, deliverables, methodologies, and solution development activities. Thorough documentation will support traceability and troubleshooting. You are also encouraged to draw upon your classroom experiences to offer innovative, out-of-the-box recommendations. The internship is designed for students interested in applied experience in Data Engineering and Data Analytics.
Requirements
- Currently enrolled in a Bachelor’s or Master’s program in: Data Engineering, Data Science, Data Management, Computer Science or related field
- Minimum GPA: 3.0 or higher (required)
- Foundational knowledge of SQL and Python
- Strong analytical thinking and problem-solving skills
- Excellent written and verbal communication skills in English
- Curiosity-driven mindset with ability to identify and frame problems
Nice To Haves
- Experience with data visualization tools (Power BI, Tableau, Looker)
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Exposure to data warehouses (Snowflake, BigQuery, Redshift)
- Understanding of basic statistics or data modeling concepts
- Experience using Git or version control systems
Responsibilities
- Assist in building and maintaining scalable data pipelines (ETL/ELT processes)
- Work with SQL to extract, clean, and transform large datasets
- Support Python-based data processing, automation, and reporting tasks
- Contribute to dashboard development and data visualization efforts
- Perform data validation to ensure accuracy, consistency, and integrity
- Collaborate with engineers, analysts, and business stakeholders
- Identify patterns, anomalies, and opportunities for data improvements
- Document workflows, datasets, and technical processes
Benefits
- Opportunities to learn and develop every day through a wide range of programs.
- Internal digital platforms that promote self-learning.
- Development programs according to Leadership skills.
- Specialized training according to the role.
- Learning experiences with internal and external providers.
- Recognition programs for seniority, behavior, leadership, moments of life, among others.
- Financial wellness programs that will help you reach your goals in all stages of life.
- A flexibility program that will allow you to balance your personal and work life, adapting your working day to your lifestyle.
- WellnessLine for family
- Thousands of Agreements and Discounts for family
- Scholarship programs for children
- Aid Plans for different moments of life
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What This Job Offers
Career Level
Intern
Education Level
No Education Listed
