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Data Engineer Jobs in Puerto Rico (NOW HIRING)

Hewlett Packard Enterprise

Cloud Data Engineer

Aguadilla, PR · Hybrid

$102.30K - $122.80K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Juan, PR · Hybrid

$112.30K - $134.80K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

Xtillion

Software Engineer Senior Associate

San Juan, PR · On-site

$120.10K - $158.40K/yr

You'll operate at the intersection of software engineering, data systems, and applied AI, translating complex business problems into scalable, reliable solutions. This position is ideal for engineers ...

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Data Engineer information

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Puerto Rico? The most popular types of Data Engineer jobs in Puerto Rico are:
What are popular job titles related to Data Engineer jobs in Puerto Rico? For Data Engineer jobs in Puerto Rico, the most frequently searched job titles are:
What cities in Puerto Rico are hiring for Data Engineer jobs? Cities in Puerto Rico with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in PR? For Data Engineer jobs in PR, the most frequently searched job titles are:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Puerto Rico as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 98% In-person, and 2% Hybrid job distribution.
Cloud Data Engineer

Cloud Data Engineer

Hewlett Packard Enterprise

Aguadilla, PR • Hybrid

$102.30K - $122.80K/yr

Full-time

Posted 24 days ago

Hewlett Packard Enterprise rating

8.3

Company rating: 8.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

30th of 137 rated electronics manufacturers

Job description

Cloud Data EngineerThis role has been designed as 'Hybrid' with an expectation 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:

Description

As a data engineer, you'll ensure the reliability, performance, and security of applications. You'll collaborate with data scientists to design, build, and maintain data pipelines, platforms, and services. You'll bridge the gap between data engineering and advanced AI-driven applications. You'll work with cutting-edge AI/ML technologies like LLMs, autonomous AI agents, enabling intelligent automation and deep data insights. You'll contribute to product development in programming, data analysis and CI/CD infrastructure

Responsibilities :

  • Application design and development in streaming or batch mode over Kafka and Spark
  • Building RAG pipelines and Agents/Tools
  • Evaluate and implement new technologies and tools to improve efficiency and reduce cost
  • Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns
  • Work with a team of data scientists, domain experts, architects and otherengineers to increase the accuracy of AI outcomes in our device management product
  • Build CI/CD pipelines
  • Work with SMEs and data scientists to increase accuracy of actionable insights

Education and Experience Required

  • Degree in Computer Science, Information Systems, or equivalent
  • Master's with 2 years of data engineering experience
  • At least 4 years of work experience in relevant technologies

Knowledge and Skills

  • 2+ years of programming experience in Python
  • 1+ years of programming experience in Java
  • Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience
  • Experience with developing Generative-AI and Agentic AI based applications with at least 1 year of relevant experience
  • Experience with managing and analyzing large data sets
  • Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience
  • Experience developing applications in Cloud computing environments with at least 2 years of relevant experience

Additional Desirable Skills

  • Good understanding of WiFi Wireless Networking, Switching and Routing concepts
  • Experience in one or more deployment tools such as Airflow or ArgoCD

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

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_03

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.

No Fees Notice & Recruitment Fraud Disclaimer

It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendorswill never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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