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Data Engineer Jobs in Puerto Rico (NOW HIRING)

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 ...

CIS International LLC

PR

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

Inteldot

Sr Data Scientist 35431

Juncos, PR · On-site

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 ...

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

Maintain and enhance data pipelines in collaboration with engineers when needed. * Ensure data integrity, consistency, and security. Required Skills & Experience * 2-3 years of experience in data ...

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Data Engineer information

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.

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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
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 job categories do people searching Data Engineer jobs in Puerto Rico look for? The top searched job categories for Data Engineer jobs in Puerto Rico 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution.

Software Engineer Senior Associate

Xtillion

San Juan, PR • On-site

$120K - $158K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

About Xtillion
Xtillion is a fast-growing AI solutions firm helping organizations build, operationalize, and scale high-value AI systems. We deliver end-to-end solutions, from design to deployment in real-world environments, combining deep data expertise with a strong focus on measurable business impact.
Based in San Juan, Puerto Rico, Xtillion partners with organizations across U.S. industries to solve complex, high-impact business problems. We invest in our people and offer opportunities to work on technically challenging, customer-facing systems that directly influence client success.
About the Role
We're looking for a Senior Associate Software Engineer to join our growing team. In this role, you'll build and deploy AI-powered, production-grade software systems within client environments. 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 who enjoy hands-on system building, working closely with clients, and shaping technical direction and best practices across projects.
What You'll Do
  • Collaborate withcross-functional teams to define business and technical requirements
  • Partner on design and build data pipelines that ingest, transform, and deliver data from source systems to analytical platforms using modern cloud technologies
  • Support on design and implement infrastructure and data platforms that enable reliable access, transformation, and analysis of data
  • Document and maintain dataarchitecture to support reliable, scalable data systems
  • Contribute to improving engineering practices around quality, maintainability, and operational stability
  • Mentor and support other engineers through code reviews, design discussions, and day to-day collaboration

What We're Looking For
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field
  • 4+ years of professional software engineering experience, including backend and/or data engineering
  • Experience delivering production systems in environments with evolving or changing requirements
  • Experience building and maintaining APIs and backend services (e.g., FastAPI, Node.js, or similar frameworks)
  • Strong experience with SQL and relational or analytical data systems
  • Experience working in cloud environments (AWS, Azure)
  • Experience with modern engineering workflows, including Git-based version control and CI/CD pipelines
  • Good understanding of software engineering best practices, testing strategies, and agile delivery
  • Strong written and verbal English communication skills

Preferred Qualifications
  • Hands-on experience building and deploying AI-enabled systems, particularly LLM-powered workflows and orchestration (e.g., LangChain, LangGraph)
  • Familiarity with Infrastructure as Code tools (e.g., Terraform)
  • Background in designing and maintaining data pipelines or data-intensive systems
  • Exposure to data warehouses or large-scale analytical platforms
  • Knowledge of workflow orchestration or distributed processing systems

Why Join Xtillion
At Xtillion, you'll take ownership of meaningful, production-grade systems and work on software that is relied upon in real-world environments. You'll join a fast-moving team where engineers influence technical direction and uphold strong engineering standards, supported by competitive compensation and meaningful opportunities for career growth.
Ready to Build What Matters?
Join Xtillion and be part of a collaborative team delivering real-world data and AI solutions at scale. If you're excited about taking ownership of complex systems and turning AI into measurable business outcomes, we'd love to hear from you!
Learn more at https://www.xtillion.com
We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off and 401(k) plan.
We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact gguerrero@xtillion.com
Xtillion is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other basis protected by law. Employment at Xtillion is based solely on a person's merit and qualifications.

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