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Data Engineer Data Jobs in Puerto Rico (NOW HIRING)

Syndeo,-LL

Data Engineer

Carolina, PR · On-site

$65 - $70/hr

We are looking for a Data Engineer to build and operate the pipelines that make this possible, pulling structured and unstructured data out of Artyfica's core services (LAB, RCM, CRM) and the ...

Hondadesanjuan

Data Engineer

San Juan, PR · On-site

$65 - $85/hr

This is not a traditional data engineering role. You'll be joining a newly created Strategy & Innovation team at a pivotal moment in its journey. As one of the early members of the group, you'll won ...

INVID

Data Infrastructure Engineer

San Juan, PR · On-site

$110 - $150/hr

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 ...

Invid, Llc.

Data Infrastructure Engineer

San Juan, PR · On-site

$90 - $130/hr

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 ...

INVID

Data Testing Engineer

San Juan, PR · On-site

$90 - $120/hr

Job Summary We are seeking a detail-oriented and analytical Data Testing Engineer to ensure the accuracy, reliability, and quality of our data platform and reporting solutions. This role plays a ...

Invid, Llc.

Data Testing Engineer

San Juan, PR · On-site

$70 - $100/hr

Job Summary We are seeking a detail-oriented and analytical Data Testing Engineer to ensure the accuracy, reliability, and quality of our data platform and reporting solutions. This role plays a ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Puerto Rico

Data Engineer Data information

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

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For Data Engineer Data jobs in Puerto Rico, the most frequently searched job titles are:

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The top searched job categories for Data Engineer Data jobs in Puerto Rico are:

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Data Engineer Data jobs near you
Infographic showing various Data Engineer Data job openings in Puerto Rico as of June 2026, with employment types broken down into 2% As Needed, 69% Full Time, 27% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Data Engineer

Syndeo,-LL

Carolina, PR • On-site

$65 - $70/hr

Other

Posted 5 days ago

Key responsibilities

  • Design, build, and maintain ETL/ELT pipelines that ingest data from core services and the iConnect interoperability engine

  • Build and evolve data warehouse and data lake models that unify clinical and financial data for Data Science consumption

  • Establish and enforce data quality, integrity, lineage, and governance standards across all pipelines

Job description

Salary Range: $65,000.00 To $70,000.00 Annually

Description:

Syndeo's Data Science practice combines clinical and financial data into a single, automated view of the pathology business, a capability that sets our platform apart. We are looking for a Data Engineer to build and operate the pipelines that make this possible, pulling structured and unstructured data out of Artyfica's core services (LAB, RCM, CRM) and the iConnect interoperability engine, and turning it into governed, analytics-ready datasets. This role is foundational to the Data Science layer of Artyfica, working closely with the Data Analyst, Data Scientists, Product Owner, and Scrum Master to keep the ecosystem's intelligence layer fast, trustworthy, and scalable.

Responsibilities of the job include:
  • Design, build, and maintain ETL/ELT pipelines that ingest data from Artyfica's core services (LAB, RCM, CRM) and the iConnect interoperability engine
  • Build and evolve data warehouse and data lake models that unify clinical and financial data for Data Science consumption
  • Establish and enforce data quality, integrity, lineage, and governance standards across all pipelines
  • Partner with Data Analysts and Data Scientists to expose clean, curated, well-documented datasets for reporting and modeling
  • Optimize pipeline performance and scalability as data volume and organizational onboarding grows
  • Implement monitoring and alerting to proactively catch pipeline failures or data quality issues
  • Collaborate with the Software Development team to align data schemas with Artyfica's service-oriented architecture
  • Maintain data catalogs and documentation for all pipelines and datasets
  • Support ingestion of HL7, FHIR, X12, and BAI2 (BTRS) data structures arriving through iConnect
Required skills:
  • Proficient in Python and/or Java for data engineering work
  • Strong SQL skills and hands-on experience with relational databases (Postgres preferred)
  • Experience with ETL/ELT design and orchestration tools (e.g., Airflow or equivalent)
  • Solid understanding of data warehousing and data lake concepts and dimensional modeling
  • Working knowledge of data governance principles and secure handling of protected health information (PHI)
  • Proficient with Git and version control workflows
  • Comfortable operating within Agile Scrum and Kanban practices
  • Logical thinker with strong analytical and problem-solving skills
  • Written and verbal communication skills in both Spanish and English
Desired skills:
  • Experience with healthcare interoperability standards: HL7, FHIR, X12, BAI2
  • Exposure to cloud or analytics platforms such as Snowflake, ClickHouse, or Trino
  • Prior experience integrating financial and clinical data domains
  • Familiarity with streaming or event-driven pipelines (e.g., Kafka)
  • Experience with Docker and containerized data services
Qualifications and training:
  • Bachelor's Degree in Computer Science, Data Engineering, or a related field
  • 3+ years of experience in data engineering
  • Experience with healthcare, RCM, or laboratory data preferred
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