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Data Engineer Jobs in Puerto Rico (NOW HIRING)

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 ...

Xtillion

Engineering Manager

San Juan, PR · On-site

Lead and support teams of software and data engineers delivering AI-enabled systems in production * Own the technical execution and delivery of client-facing projects, ensuring quality, reliability ...

Weil Group, Inc

Reliability Engineer

Bayamon, PR · On-site

$85 - $120/hr

... analysis, data-driven decision-making, and continuous improvement. Key areas of focus include ... The Reliability Engineer works in close collaboration with the Maintenance Manager, Maintenance ...

Weil Group, Inc

Reliability Engineer

Bayamon, PR · On-site

$92K - $116K/yr

... analysis, data-driven decision-making, and continuous improvement. Key areas of focus include ... The Reliability Engineer works in close collaboration with the Maintenance Manager, Maintenance ...

Weil Group, Inc.

Reliability Engineer

Bayamon, PR · On-site +1

$92K - $116K/yr

... analysis, data-driven decision-making, and continuous improvement. Key areas of focus include ... The Reliability Engineer works in close collaboration with the Maintenance Manager, Maintenance ...

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Data Engineer information

What is a data engineer?

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 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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
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 August 2026, with employment types broken down into 2% Internship, 85% Full Time, 8% Part Time, 2% Temporary, and 3% Contract. Highlights an 91% In-person, 7% Hybrid, and 2% Remote job distribution.

Data Analyst

WORKSIMPLI SOFTWARE LLC

PR • On-site

$45K - $55K/yr

Full-time

Medical, PTO

Re-posted 10 days ago

Job description


???? Data Analyst

???? Location: San Juan, Puerto Rico (Hybrid – Remote Wednesdays)
???? Job Type: Full-Time | Monday to Friday
???? www.worksimpli.com

About WorkSimpli Software

WorkSimpli Software LLC is a fast-growing SaaS company based in San Juan, Puerto Rico, creating intuitive tools that make work more efficient. Our platform PDFSimpli.com is one of the top-ranked document editing tools online, helping millions streamline their workflows. We are expanding our data team and seeking a Data Analyst to turn data into insights and drive smarter decision-making across our products and operations.

Position Summary

As a Data Analyst, you’ll play a key role in helping our teams understand business performance, user behavior, and growth opportunities. You will gather, interpret, and present data that supports strategic decisions across marketing, product development, finance, and leadership.

This role is ideal for someone passionate about storytelling through data, curious about product and user behavior, and experienced with extracting insights from complex datasets.

Key Responsibilities

  • Collect, clean, and analyze data from internal systems (databases, product usage, marketing tools, etc.).
  • Build dashboards and visualizations that provide insight into KPIs, user engagement, and product performance.
  • Identify trends, patterns, and opportunities across platforms like PDFSimpli.com.
  • Work with Product, Marketing, and Executive teams to translate business questions into data questions—and deliver answers.
  • Conduct A/B tests and conversion analysis to support product and marketing optimization.
  • Write reports and present findings in clear, actionable formats.
  • 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 analysis, business intelligence, or a similar role.
  • Strong command of SQL for data querying and transformation.
  • Proficiency in Excel and data visualization tools like Tableau, Power BI, or Looker.
  • Experience with Google Analytics, Mixpanel, or similar web/product analytics platforms.
  • Ability to translate complex data into clear insights and actionable recommendations.
  • Excellent communication skills, both written and verbal.
  • Attention to detail and comfort handling large datasets.

Bonus / Preferred Skills

  • Familiarity with Python or R for data analysis or automation.
  • Experience working in a SaaS or digital product environment.
  • Understanding of customer behavior metrics, growth funnels, and product performance KPIs.
  • Experience with cloud data warehouses (BigQuery, Redshift, Snowflake).
  • Exposure to A/B testing platforms and methodology.

Education Requirements

  • Bachelor’s degree in Data Science, Statistics, Economics, Computer Science, or related field.
  • Equivalent experience or certifications (Google Data Analytics, etc.) will be considered.

Why Join WorkSimpli?

  • Be part of a high-impact SaaS company serving millions of users worldwide
  • Work cross-functionally and directly influence product and business decisions
  • Hybrid work model with flexible schedule (Remote Wednesdays)
  • Health insurance, PTO, and competitive salary + bonus opportunities
  • Culture of collaboration, learning, and innovation