Top 10 Data infrastructure engineer Jobs in San Juan, Pr

Data Infrastructure Engineer
INVID —San Juan, PR
- Full-time
- Hybrid work
- Spanish
- 7 years
- Azure
- Continuing education credits
- Health insurance
Quick Apply
1d
Analyst, Information Technology (Data Engineer)
Oriental Bank in San Juan —San Juan, PR
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- 3 years
KPI & Data Reporting Manager
Tetra Tech —San Juan, PR
- $33 - $35 an hour
- Overtime
- Spanish
- English
- Bachelor's degree
22h
Senior Applied AI Engineer
BOLD —Guaynabo, PR
- Hybrid work
- Azure
- Computer Science
- System design
- Disability insurance
- Health insurance
Quick Apply

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Data Infrastructure Engineer

INVID -
San Juan, PR

Quick Apply

Job Details

Full-time
1 day ago

Benefits

Continuing education credits
Health insurance
Paid time off
Professional development assistance
Flexible schedule
Life insurance
Retirement plan

Qualifications

Data integrity assurance
Commercial use (data warehousing systems)
Spanish
Data Integration (Data management)
Cloud data warehouses
Data validation techniques
English
Infrastructure architecture design
Data Architecture Design (Architecture design skills)
ETL process automation
Data integrity process (data warehousing)
Scalability
Database software proficiency

Full Job Description

Job Summary

We are seeking a talented and driven Data Infrastructure Engineer to support the modernization of the client's data infrastructure and drive enterprise-wide data excellence. In this role, you will be responsible for rebuilding our data foundation—covering ingestion, validation, and standardized transformations—with the strategic goal of transitioning full ownership of data pipelines to IT and eliminating manual processes. As a key member of our technology team, you will leverage your expertise in Microsoft Fabric (including Lakehouse, Data Warehouse, Dataflow Gen2, and pipelines) to design and implement scalable, reliable data solutions. You will play a critical role in developing robust ETL/ELT pipelines and architecting modern data platforms that enable efficient data access, governance, and analytics across the organization.

The ideal candidate brings strong hands-on experience with SQL and/or Spark-based transformations, along with a deep understanding of data engineering best practices.

What sets INVID apart is our collaborative and flexible work environment. We encourage our team to raise the bar in everything they do while maintaining a healthy work-life balance. With our hybrid work model, team members thrive both in the office and remotely. We foster a culture of mutual respect, autonomy, and accountability, where your voice matters and your growth is supported. From structured career paths and paid professional development to access to industry events, we’re committed to your success.

Duties and Responsibilities

Design, build, and orchestrate scalable data pipelines using Microsoft Fabric to support efficient data ingestion, transformation, and delivery.
Implement and manage a robust medallion (Bronze/Silver/Gold) architecture to enhance data quality, consistency, and usability.
Develop and maintain transformation logic, including data cleansing, standardization, deduplication, and mapping, while modernizing legacy processes by migrating Python-based workflows into Fabric-native solutions.
Ensure strong data governance by implementing validation, quality checks, and end-to-end traceability across pipelines.
Continuously optimize data processing and refresh strategies to support near real-time reporting and reduce data latency.

Teamwork and Communication

Work under Agile methodologies and frameworks such as Scrum or Kanban. Provide daily status and feedback on the work performed. Assist in the analysis, design, development, and deployment of necessary data. Provide accurate explanations of any written code.

Communicate with internal and external personnel in English or Spanish to discuss requirements and specifications, provide status updates, and explain the work performed.

Required Qualifications

7+ years of experience in data engineering, data integration, or related roles
Strong hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Dataflow Gen2, pipelines)
Proven expertise in designing and implementing ETL/ELT pipelines and scalable data architectures
Strong proficiency in SQL and/or Spark-based transformations
Experience with data quality, validation, and lineage concepts
Demonstrated experience working with large, complex datasets in cloud environments
Proven ability to modernize legacy data processes and automate manual workflows

Preferred Qualifications

Experience with Python (pandas, scripting) to interpret and refactor existing transformation logic
Familiarity with the Azure data ecosystem and integration patterns
Experience supporting near real-time data processing environments
Strong communication and collaboration skills

Other requirements:

US Resident | US Citizenship

Fully Bilingual (Spanish and English)

Work Modality: Hybrid

Location: San Juan, Puerto Rico

Benefits and Perks

We believe in supporting our employees’ well-being, growth, and work-life balance. As part of our team, you will have access to a comprehensive benefits package that includes:

Paid time off, including vacation and sick leave
Company-sponsored health insurance coverage
Retirement plan to help you plan for the future
Hybrid work model offering flexibility between office and remote work
Flexible working hours to support work-life balance
Continuing education reimbursement to encourage professional development
Company-paid life insurance

EEO

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data infrastructure engineer jobs in san juan, pr

Data Infrastructure Engineer

Analyst, Information Technology (Data Engineer)

KPI & Data Reporting Manager

Senior Applied AI Engineer

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