Data Engineering & Analytics Intern

Job Description

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.

Key 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

What You Will Gain

• Real-world experience working with production-level data systems
• Exposure to modern data engineering and analytics workflows
• Collaboration with cross-functional technical and business teams
• Mentorship from experienced data professionals
• Opportunity to build a portfolio of impactful data projects

Qualifications

Required Qualifications

• 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

Preferred Qualifications

• 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

Additional Information

What can you expect from us:

• 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.
• We love to celebrate success, which is why we have 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.
• And because your family is also important to us, they can also enjoy benefits such as our WellnessLine, thousands of Agreements and Discounts, Scholarship programs for your children, Aid Plans for different moments of life, among others.

Work Hours: Varies upon the needs of the global department.

RRS Company is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. RRS will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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Compensation: 33.5 to 45.75 (USD) (HOURLY)