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Data Engineer Jobs in Puerto Rico (NOW HIRING)

Sr Factory Systems Engineer

Juncos, PR · On-site

$101.80K - $139.30K/yr

Data Engineering & Analytics: * Collaborate with data engineers to structure and normalize IIoT data for analytics. (guidance to engineers) * Enable real-time monitoring, predictive maintenance, and ...

Sr Factory Systems Engineer

Juncos, PR

$101.80K - $139.30K/yr

Data Engineering & Analytics: * Collaborate with data engineers to structure and normalize IIoT data for analytics. (guidance to engineers) * Enable real-time monitoring, predictive maintenance, and ...

Software Engineer Senior Associate

San Juan, PR · On-site

$120.10K - $158.40K/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 ...

Be Seen First

The analyst will work closely with project managers, engineers, and administrative staff to translate project data into actionable insights and standardized reports. Key Responsibilities Data ...

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 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 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.

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 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.

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 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 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:
Infographic showing various Data Engineer job openings in Puerto Rico as of May 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 98% In-person, and 2% Hybrid job distribution.

Sr Factory Systems Engineer

MiniMed

Juncos, PR • On-site

$101.80K - $139.30K/yr

Full-time

Posted 11 days ago


Job description

At MiniMed, you can begin a lifelong career of exploration and innovation, while helping make a difference in the lives of people living with diabetes around the globe. You'll lead with purpose, breaking down barriers to innovation for a more connected, compassionate world.
About the Role
At MiniMed, we're redefining what's possible in diabetes care - and it starts with how we build, measure, and optimize on the manufacturing. We are looking for a Sr Factory Systems Engineer who is ready to lead the charge.
You will be at the frontline of digital transformation, driving the implementation of smart manufacturing solutions that empower our teams and elevate our operations.
Every dashboard you build, every system you deploy, and every insight you unlock helps us deliver life-changing technology to people living with diabetes. Ready to engineer the future?"
Responsibilities may include the following and other duties may be assigned.
  • Develops and applies computer aided design (CAD) software engineering methods, theories and research techniques in the investigation and solution of technical problems.
  • Assessing architecture and hardware limitations, plans technical projects in the design and development of CAD software.
  • Defines and selects new approaches and implementation of CAD software engineering applications and design specifications and parameters.
  • Develops routines and utility programs.
  • Prepares design specifications, analysis and recommendations for presentation and approval.
  • May specify materials, equipment and supplies required for completion of projects and may evaluate vendor capabilities to provide required products or services.

Key Responsibilities
lloT Arquitecture & Intregration:
  • Design and implement scalable IIoT architectures for manufacturing environments.
  • Integrate sensors, PLCs, SCADA systems, and edge devices with MES and ERP platforms.
  • Develop and maintain secure data pipelines from shop floor to cloud/enterprise systems.

Device & Network Management:
  • Select and configure industrial sensors, gateways, and communication protocols (e.g., OPC UA, MQTT, Modbus).
  • Manage device provisioning, firmware updates, and lifecycle management.
  • Ensure high availability and reliability of IIoT infrastructure.

Data Engineering & Analytics:
  • Collaborate with data engineers to structure and normalize IIoT data for analytics. (guidance to engineers)
  • Enable real-time monitoring, predictive maintenance, and process optimization.
  • Support digital twin and machine learning initiatives with clean, contextualized data.

Compliance & Validation:
  • Ensure IIoT systems meet regulatory requirements for data integrity, traceability, and cybersecurity.
  • Participate in Computer System Validation (CSV) and risk assessments.
  • Maintain documentation for audits and inspections.

Cross-Functional Collaboration:
  • Work closely with Manufacturing, Quality, IT, and Engineering teams.
  • Provide technical leadership and mentorship to junior engineers and technicians. - Support change management and training initiatives.
  • Provide training and support to front-line workers on the use of digital tools and technologies.
  • Monitor the performance and usage of digital tools, making adjustments as needed to ensure optimal results.
  • Collect and analyze data from digital tools to identify areas for improvement and drive continuous improvement initiatives.
  • Stay up-to-date with industry trends and advancements in digital manufacturing and Industry 4.0 technologies.

Must Have: Minimum Requirements
  • Requires Bachelor's Engineer Degree
  • Requires minimum of 4 years of relevant experience, or Master's degree with a minimum of 2 years relevant experience or PhD with 0 years relevant experience.

Nice to Have:
Education & Experience
  • Bachelor's degree in Computer Sciences, Electrical Engineering, Industrial Automation, Manufacturing Engineering, Information Technology or related field. Equivalent work experience will also be considered.
  • 4+ years of experience in digital tools and technologies used in manufacturing environments (e.g., MES, SCADA, IoT devices, digital work instructions).

Technical Skills
  • Working experience with Ignition (Inductive Automation) and Rockwell PLC's is preferred

Attributes
  • Strong problem solving and analysis skills.
  • Effective communication and interpersonal skills, with the ability to work collaboratively in a team environment.
  • Proficiency in data analysis and visualization tools (e.g., Excel, Tableu, Power BI)
  • Familiarity with regulatory standards and best practices in the MedTech Industry.

Physical Job Requirements
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.
Benefits & Compensation
MiniMed offers a competitive salary and flexible benefits package
At MiniMed, we put people first. A commitment to our employees lives at the core of our values: We recognize their contributions. They share in the success they help create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every stage of your career and life.
This position is eligible for a short-term incentive called the Short Term Incentive (STI).
MiniMed Benefits Overview
About MiniMed
MiniMed is a full-stack insulin delivery company dedicated to supporting people living with diabetes through every step of their journey - when and how they need it. For more than 40 years, we've been committed to redefining what's possible: intelligent dosing systems designed for real life, predictive insights that stay a step ahead, and always on support when it's needed most. At the heart of everything we do is a simple Mission: to make every day a better day for people with diabetes.
Learn more about our business, and our mission here.
It is the policy of MiniMed to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, familial status, membership or activity in a local human rights commission, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, MiniMed will provide reasonable accommodations for qualified individuals with disabilities.
If you are applying to perform work for MiniMed in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which MiniMed reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. MiniMed will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.