ZipRecruiter

Log In

1

Data Engineer Jobs in Puerto Rico (NOW HIRING)

Kelly Services

PR

$48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

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 ...

New

Collins Aerospace

SAP Data Engineer (Puerto Rico)

Santa Isabel, PR · Hybrid

$103K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking an experienced SAP BW/4HANA / SAP Datasphere Engineer to work the design, development, and optimization of enterprise data warehousing and analytics solutions. This role is responsible ...

Raytheon Technologies

SAP Data Engineer (Puerto Rico)

Santa Isabel, PR · On-site

$55 - $72.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking an experienced SAP BW/4HANA / SAP Datasphere Engineer to work the design, development, and optimization of enterprise data warehousing and analytics solutions. This role is responsible ...

RTX

Data Analytics Engineer (Puerto Rico)

Santa Isabel, PR · On-site +1

$103K - $124K/yr

  • Medical

  • Life

  • Retirement

The Data & Insights team in RTX Corporate is seeking a Data Analytics Engineer to develop reliable, scalable data and analytics solutions that improve business performance, operational efficiency ...

Validation & Engineering Group, Inc

PR

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ...

New

Veg Group

Data Scientist

Juncos, PR · On-site

$90 - $120/hr

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who ... Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ...

Posted today

QRC Group

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Data analytics and visualization. * Ability to collect, organize, clean, analyze, and interpret ... Programming, automation, and AI-enabled tools. * Foundational programming or automation experience ...

next page

Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Puerto Rico

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.

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 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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
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, 87% Full Time, 9% Part Time, and 2% Temporary. Highlights an 91% In-person, 7% Hybrid, and 2% Remote job distribution.

Analyst, Information Technology (Data Engineer)

Oriental Bank

San Juan, PR • Hybrid

$112K - $134K/yr

Full-time

Re-posted 3 days ago

Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.

MAIN DUTIES & RESPONSIBILITIES:

  • Design, develop, and maintain ELT/ETL pipelines for batch and eventdriven data ingestion using Snowflake and AWS.
  • Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
  • Develop scalable data processing solutions using SQL and Python.
  • Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
  • Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
  • Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
  • Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
  • Support production deployments using Gitbased version control, CI/CD pipelines, and infrastructureascode practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • Three (3)+ years of professional experience in Data Engineering or a related role required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong handson experience with Snowflake, including data ingestion, transformations, and performance optimization.
  • Experience working within AWS cloud environments, particularly with S3 and serverless services.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Proficiency in Python for data processing and pipeline automation.
  • Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
  • Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:

  • Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
  • Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
  • Exposure to streaming or nearrealtime data (Kafka, Kinesis, or eventdriven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:

  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)

Recruitment Privacy Statement

Compliance Posters

#LI-Hybrid

Apply