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Data Engineer Internship Amazon Jobs in Puerto Rico

IT Specialist

Guaynabo, PR · On-site

$106K/yr

Utilizing Extract, Transform, Load (ETL) processes and data pipelines and cloud platforms like Amazon Web Services (AWS), Azure, or (Google Cloud Platform) GCP. * Experience Applying DevOps and ...

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Data Engineer Internship Amazon information

What does a data engineer intern do at Amazon?

A Data Engineer Intern at Amazon works on designing, building, and maintaining scalable data pipelines and systems to support business analytics and decision-making. Interns typically collaborate with experienced data engineers and other team members to process large datasets, ensure data quality, and optimize performance. They may also help automate data collection, transformation, and storage processes, gaining hands-on experience with Amazon's cloud technologies and big data tools. The internship offers an opportunity to develop technical skills in databases, programming, and data modeling in a real-world, fast-paced environment.

What are the key skills and qualifications needed to thrive as a data engineer intern at Amazon?

To thrive as a Data Engineer Intern at Amazon, you need a solid understanding of data structures, algorithms, and proficiency in programming languages such as Python, Java, or Scala, often supported by progress towards a degree in computer science or a related field. Familiarity with SQL, cloud platforms (especially AWS), and big data tools like Hadoop or Spark is typically required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in a fast-paced environment. These skills and qualities are crucial to efficiently manage data pipelines, contribute to impactful projects, and succeed within Amazon’s data-driven culture.

What types of projects and technologies do data engineer interns at Amazon typically work with?

As a Data Engineer Intern at Amazon, you can expect to work on projects involving large-scale data pipelines, data warehousing, and analytics solutions. Interns often gain hands-on experience with Amazon Web Services (AWS) tools such as Redshift, S3, and Glue, as well as programming languages like Python and SQL. You'll collaborate closely with software engineers, data scientists, and business analysts to design and optimize data systems that support Amazon's business operations. This role provides a strong foundation in both the technical and collaborative aspects of data engineering, offering ample learning opportunities in a fast-paced, innovative environment.

What is the difference between Data Engineer Internship Amazon vs Data Analyst Internship Amazon?

AspectData Engineer Internship AmazonData Analyst Internship Amazon
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud platformsData reporting, dashboards, business insights
Industry UsageTech, e-commerce, cloud servicesBusiness, marketing, finance

Both internships are common in Amazon's data teams but focus on different aspects. Data Engineer Internships involve building and maintaining data infrastructure, while Data Analyst Internships focus on analyzing data to generate insights. Candidates should choose based on their technical skills and career interests.

What are popular job titles related to Data Engineer Internship Amazon jobs in Puerto Rico?

For Data Engineer Internship Amazon jobs in Puerto Rico, the most frequently searched job titles are:

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

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

Site Reliability Engineer Staff

Hewlett Packard Enterprise

Aguadilla, PR • Hybrid

$51 - $67.75/hr

Full-time

Re-posted 6 days ago


Hewlett Packard Enterprise rating

8.4

Company rating: 8.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 157 rated electronics manufacturers


Job description

Site Reliability Engineer StaffThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

Job Family Definition:

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.

Management Level Definition:

Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.

In a typical day as a Site Reliability Engineer Staff, you would...

As a Staff Software Engineer, you will play a key role in designing, building, and optimizing cloud infrastructure and deployment systems. Your work will directly impact scalability, security, and operational efficiency across our platforms. Key responsibilities include:

  • Enhance Infrastructure as Code (IAC) and enforce best practices.

  • Optimize cloud infrastructure for scalability, security, and cost-effectiveness.

  • Develop internal tools to support and streamline cloud platform operations.

  • Improve CI/CD pipelines and deployment workflows using FluxCD and Jenkins.

  • Address container image vulnerabilities and standardize remediation processes.

  • Build Amazon Machine Images (AMIs) aligned with CIS and STIG benchmarks.

  • Strengthen monitoring, alerting, and observability using Prometheus, Grafana, and logging tools.

  • Troubleshoot complex production issues to ensure system reliability and customer satisfaction.

  • Fine-tune distributed systems such as Apache Kafka and Cassandra.

  • Collaborate with development, security, and operations teams to align infrastructure with application needs.

What you need to bring:

  • Minimum of 6 years of hands-on experience in Infra Ops, Dev Ops, or Site Reliability Engineering (SRE).

  • Proficiency with Linux systems, especially Debian-based distributions.

  • Strong experience with cloud platforms such as AWS and GCP.

  • Expertise in Infrastructure as Code tools like Terraform, Packer, and Ansible.

  • Solid programming skills in Python and/or Golang.

  • Deep understanding of containerization (Docker, Container) and orchestration tools (AWS EKS, GCP GKE).

  • Experience with GitOps workflows.

  • Proven track record in implementing and maintaining CI/CD pipelines.

  • Strong background in security and familiarity with security programs.

  • Experience with monitoring and logging tools (Prometheus, Grafana, ELK).

  • Knowledge of both relational (SQL) and non-relational databases.

  • Excellent problem-solving and debugging skills with a strong sense of ownership.

  • Experience managing distributed systems like Apache Kafka and Cassandra.

  • Effective communicator and collaborative team player.

  • It is mandatory to attend to San Juan office twice a week.

Preferred Qualifications

  • Experience contributing to open-source projects.

  • Background in security engineering or related disciplines.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#puertorico#networking

Job:

Engineering

Job Level:

TCP_04

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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