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Electrical Engineer Data Analyst Jobs in Puerto Rico

Hewlett Packard Enterprise

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 ... We help companies connect, protect, analyze, and act on their data and applications wherever they ...

Acumenian

PR · On-site

... Jr. Data Analyst to join our consulting team and support the delivery of high-impact services ... A Bachelors degree in Engineering, Mathematics, Computer Science, Information Management, or ...

Bella Group

Data Engineer

San Juan, PR · On-site

$110K - $133K/yr

This role involves building data pipelines, ensuring data quality, and collaborating with engineers to support analytics initiatives that drive business impact. Responsibilities : • Build and ...

New

Bella Group

Data Engineer

San Juan, PR · On-site

$112K - $134K/yr

Help build the data foundations that will power analytics, AI, and strategic initiatives across the ... Collaborate with senior engineers on code reviews, sprint planning, and incident response, learning ...

New

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All JobsElectrical Engineer Data Analyst JobsElectrical Engineer Data Analyst Jobs in Puerto Rico

Electrical Engineer Data Analyst information

Can an electrical engineer be a data analyst?

An electrical engineer can transition into a data analyst role, as both fields require strong analytical skills, proficiency in data tools like Excel, SQL, and programming languages such as Python or R. Electrical engineers often have a solid foundation in data collection, analysis, and problem-solving, which are essential for data analysis positions.

Can I make 200K as an electrical engineer?

Electrical engineers can earn $200,000 or more annually, especially with advanced skills, experience, and in high-demand industries such as power systems, aerospace, or technology. Senior roles, managerial positions, or those with specialized certifications and expertise in tools like MATLAB or AutoCAD are more likely to reach this salary level.

Can you make $500,000 as an electrical engineer?

Electrical engineers typically earn salaries below $500,000, with top earners in specialized fields, management, or with extensive experience sometimes reaching high six-figure incomes. Achieving a $500,000 salary often requires advanced skills, certifications, leadership roles, or working in high-paying industries such as aerospace or energy. Most electrical engineers do not reach this level of compensation in standard roles.

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

AspectElectrical Engineer Data AnalystElectrical Engineer
Required CredentialsBachelor's in Electrical Engineering, Data Analysis skills, possibly certifications in data analyticsBachelor's or higher in Electrical Engineering, Professional Engineer (PE) license often preferred
Work EnvironmentData-focused roles in offices, labs, or project sites, combining engineering and data analysisDesign, testing, and maintenance in labs, manufacturing plants, or field sites
Industry UsageTech companies, utilities, consulting firms integrating data analysis with electrical engineeringPower, manufacturing, telecommunications, and infrastructure sectors
Common Search & ComparisonElectrical Engineer Data Analyst vs Electrical Engineer

The main difference lies in focus: Electrical Engineer Data Analysts combine electrical engineering knowledge with data analysis skills to interpret and optimize electrical systems, while Electrical Engineers primarily design, develop, and maintain electrical systems. Both roles require a strong technical background, but the Data Analyst role emphasizes data skills alongside engineering expertise.

Is EEe a high paying job?

Electrical Engineer Data Analysts typically earn competitive salaries that vary by experience, location, and industry. In general, this role offers above-average pay compared to many entry-level positions, especially for those with specialized skills in data analysis and electrical systems.

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

Thriving as an Electrical Engineer Data Analyst requires a solid background in electrical engineering principles, data analysis, and typically a degree in electrical engineering or a related field. Familiarity with tools such as MATLAB, Python, Excel, and data visualization platforms, as well as knowledge of statistical analysis and machine learning, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help set top performers apart. These competencies are crucial for extracting meaningful insights from complex engineering data, driving innovation, and supporting informed technical decisions.

How do Electrical Engineer Data Analysts typically collaborate with cross-functional teams in a project setting?

Electrical Engineer Data Analysts often work closely with design engineers, project managers, and IT specialists to gather, analyze, and interpret data from electrical systems. They contribute insights that help optimize system performance, support troubleshooting, and inform decision-making processes. Regular meetings and data-sharing sessions are common, ensuring that findings are integrated into both the design and operational phases. This collaborative environment allows analysts to broaden their technical understanding and build valuable communication skills, which are essential for career growth.

What are Electrical Engineer Data Analysts?

Electrical Engineer Data Analysts are professionals who combine expertise in electrical engineering with data analysis skills. They collect, process, and analyze data related to electrical systems, circuits, or equipment to improve performance, efficiency, and safety. Their work often involves using software tools to interpret large datasets, identify trends, and make recommendations for design improvements or troubleshooting. These analysts play a crucial role in research, product development, and system optimization in industries such as energy, manufacturing, and telecommunications.
What are popular job titles related to Electrical Engineer Data Analyst jobs in Puerto Rico? For Electrical Engineer Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Electrical Engineer Data Analyst jobs in Puerto Rico look for? The top searched job categories for Electrical Engineer Data Analyst jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Electrical Engineer Data Analyst jobs? Cities in Puerto Rico with the most Electrical Engineer Data Analyst job openings:
Electrical Engineer Data Analyst jobs near you

Cloud Data Engineer

Hewlett Packard Enterprise Development LP

San Juan, PR • Hybrid

$112K - $134K/yr

Full-time

Posted 20 days ago

Key responsibilities

  • Collaborate with data scientists and engineers to design, build, and maintain data pipelines, platforms, and services.

  • Develop applications in streaming or batch mode over Kafka and Spark and build RAG pipelines and agents/tools.

  • Analyze and validate telemetry data to identify network problem conditions and patterns.

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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