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Data Engineer Data Jobs in Puerto Rico (NOW HIRING)

Xtillion

AI Engineer Senior Associate

San Juan, PR

$120K - $158K/yr

Whether your background is in software engineering, data science, machine learning engineering, or a blend of disciplines, this role is for builders who want to work at the frontier of applied AI ...

Xtillion

Software Engineer Senior Associate

San Juan, PR · On-site

$120K - $158K/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 ...

Deloitte

Cyber Data Protection Manager

San Juan, PR · Hybrid

$108K - $147K/yr

Providing technical engineering and troubleshooting support to network, application, and user ... Data Classification, Labeling and Rights Management technologies such as Microsoft Purview.

Acumenian

PR · On-site

Interpreting data and turn it into information that can support client's strategic decisions ... A Bachelors degree in Engineering, Mathematics, Computer Science, Information Management, or ...

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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.
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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:
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Data Engineer Data jobs near you

AI Engineer Senior Associate

Xtillion

San Juan, PR

$120K - $158K/yr

Other

Posted 11 days ago

Job description

About the Role 

We're looking for an AI Engineer to join our team. In this role, you'll design, build, and deploy intelligent systems that solve real business problems; from LLM-powered applications and retrieval pipelines to predictive models and data-driven automation. You'll bring together software engineering rigor and applied AI expertise to deliver production-grade solutions in client environments.

Whether your background is in software engineering, data science, machine learning engineering, or a blend of disciplines, this role is for builders who want to work at the frontier of applied AI: translating complex business challenges into scalable, reliable, AI-native systems that create measurable outcomes.

What You'll Do 

  • Partner with clients and cross-functional teams to translate business problems into AI solutions, defining scope, success metrics, and technical approach
  • Design, build, and deploy AI-enabled applications, services, and workflows, including LLM-powered systems, retrieval pipelines, and intelligent automation
  • Develop and maintain the APIs, backend services, and data pipelines that power scalable AI and analytical systems
  • Drive model evaluation, prompt engineering, data preparation, and system testing to ensure quality, reliability, and continuous improvement
  • Contribute to infrastructure and deployment workflows for AI systems in cloud environments
  • Strengthen engineering culture through code reviews, architectural documentation, mentoring, and evolving team best practices

What We're Looking For 

Required Qualifications 

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field
  • 4+ years of professional experience in software engineering, data science, machine learning engineering, or a related technical discipline
  • Demonstrated experience building and deploying AI-enabled or data-intensive production systems
  • Experience with modern backend or data frameworks (e.g., FastAPI, Node.js)
  • Strong experience with SQL and relational or analytical data systems
  • Experience working in cloud environments (e.g., AWS, Azure, GCP)
  • Familiarity with Git-based version control, CI/CD pipelines, and modern development workflows
  • Strong written and verbal English communication skills

Preferred Qualifications 

  • Hands-on experience with LLM-powered applications, orchestration frameworks (e.g., LangChain, LangGraph), RAG architectures, vector databases, or prompt engineering techniques
  • Background in applied machine learning, statistical modeling, or predictive analytics using modern frameworks (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn)
  • Experience with the ML lifecycle - experimentation, evaluation, monitoring, and deployment (MLOps)
  • Experience designing and maintaining large-scale data pipelines, analytical platforms, or data-intensive systems
  • Familiarity with containerization, orchestration, or Infrastructure as Code technologies (e.g., Docker, Kubernetes, Terraform)
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