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Amazon Data Science Internship Jobs in Puerto Rico

SOLX HOLDINGS LLC

PR · On-site

Build software that runs on a live 1 GW production line -- internal tools, dashboards, data ... during your internship. What you bring * Pursuing a degree in Computer Science, Software ...

Validation & Engineering Group, Inc

PR · On-site

Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc

PR · On-site

Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc

PR · On-site

Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc

PR · On-site

Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc

PR · On-site

Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc

PR · On-site

Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc

PR · On-site

Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc

PR

Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Validation & Engineering Group, Inc

PR · On-site

Bachelor's degree in Engineering, Life Sciences, or related field. * 1-3 years of experience in ... Internship or hands-on experience in validation or quality environments. * Experience with ...

Sargent & Lundy

Transmission Line Engineer 3 - Grid

San Juan, PR · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Related engineering, internship or co-op work experience. * Proficiency with PLS-CADD and PLS-POLE ... You are expected to take engineering problems from issue to solution using data and modern tools ...

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Amazon Data Science Internship information

What is an Amazon Data Science internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

What types of projects do interns typically work on during an Amazon Data Science internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.

What are the key skills and qualifications needed to thrive as an Amazon Data Science intern, and why are they important?

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

What job categories do people searching Amazon Data Science Internship jobs in Puerto Rico look for?

The top searched job categories for Amazon Data Science Internship jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Amazon Data Science Internship jobs?

Cities in Puerto Rico with the most Amazon Data Science Internship job openings:

Amazon Data Science Internship jobs near you

Analyst, Information Technology (Data Engineer)

Oriental Bank

San Juan, PR • Hybrid

$112K - $134K/yr

Full-time

Re-posted 3 days ago

Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.

MAIN DUTIES & RESPONSIBILITIES:

  • Design, develop, and maintain ELT/ETL pipelines for batch and eventdriven data ingestion using Snowflake and AWS.
  • Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
  • Develop scalable data processing solutions using SQL and Python.
  • Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
  • Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
  • Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
  • Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
  • Support production deployments using Gitbased version control, CI/CD pipelines, and infrastructureascode practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • Three (3)+ years of professional experience in Data Engineering or a related role required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong handson experience with Snowflake, including data ingestion, transformations, and performance optimization.
  • Experience working within AWS cloud environments, particularly with S3 and serverless services.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Proficiency in Python for data processing and pipeline automation.
  • Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
  • Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:

  • Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
  • Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
  • Exposure to streaming or nearrealtime data (Kafka, Kinesis, or eventdriven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:

  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)

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