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Data Engineer Data Jobs in Puerto Rico (NOW HIRING)

Cloud Data Engineer

Aguadilla, PR · Hybrid

$102K - $122K/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 ...

Cloud Data Engineer

San Juan, PR · Hybrid

$112K - $134K/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 ...

Data Engineer (Puerto Rico)

Santa Isabel, PR · On-site

$103K - $124K/yr

Data Engineering: Design, develop, and maintain data pipelines and ETL processes to support data analytics and reporting needs. * Snowflake: Utilize Snowflake to manage data warehousing, including ...

Data Engineer (Puerto Rico)

Santa Isabel, PR · Hybrid

$103K - $124K/yr

Collins Aerospace is looking for a Data Engineer to join their team. Collins is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With ...

How about this one? We're seeking a Sr Data Engineer/ Scientist to work at a premier biotechnology industry leader. This role drives advanced analytics, machine learning, and AI initiatives across ...

PR

$48/hr

How about this one? We're seeking a Sr Data Engineer/ Scientist to work at a premier biotechnology industry leader. This role drives advanced analytics, machine learning, and AI initiatives across ...

Software Engineering or BA Data Science/Analytics * Proficiency in Python, R, SQL, Power BI, Databricks, or similar analytics and visualization platforms. * Familiarity with enterprise data platforms ...

The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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 solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in Puerto Rico? For Data Engineer Data jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Puerto Rico look for? The top searched job categories for Data Engineer Data jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Data Engineer Data jobs? Cities in Puerto Rico with the most Data Engineer Data job openings:
Cloud Data Engineer

$102K - $122K/yr

Full-time

Posted 16 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

31st of 139 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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