Hybrid Data Engineer - Secure Pipelines & AI (PR)

RTX (Raytheon); Santa Isabel (PR); Hybrid; USD 110,000 - 160,000; Full time

Job summary

RTX is seeking a data engineering professional for a hybrid role in Puerto Rico. You will design and maintain data pipelines collecting structured and unstructured data from ERP/CRM systems, file shares, and SharePoint, ensuring secure data movement and governance across environments.

You will work with cloud services (AWS/Azure/GCP), modern data processing frameworks, and participate in Agile teams to deliver scalable analytics solutions and AI/ML data products.

Qualifications

• Typically requires a University Degree and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience.
• Must be a U.S. Citizen.
• Experience in engineering pipelines that handle both structured and unstructured data sources, including enterprise content repositories and file systems.
• Demonstrated ability to segment, classify, or secure data sets based on business, legal, or compliance requirements.
• Proficiency in Python, SQL, and data processing frameworks (Spark, PySpark, Databricks, EMR, Glue, or similar).
• Experience with cloud platforms (AWS, Azure, or GCP) and their native data services.
• Strong understanding of ETL/ELT, distributed systems, data modeling, and secure data architecture principles.
• Ability to work effectively in Agile teams and collaborate across technical and business functions.

Responsibilities

• Design, build, and maintain data pipelines that ingest, transform, and deliver structured data and unstructured data.
• Engineer data solutions that can segment data domains based on business rules, regulatory requirements, and security boundaries.
• Implement strict data access controls, classification rules, and data protection mechanisms for secure data separation across environments.
• Build scalable architectures that support analytics, AI/ML, and data-driven decision making in sensitive data landscapes.
• Partner with cross-functional stakeholders to translate requirements into reliable data engineering solutions.
• Optimize data workflows for performance, observability, and resiliency across cloud and hybrid platforms.
• Develop reusable patterns, automation, and governance-aligned data frameworks to accelerate data enablement.
• Support production data systems with data integrity, lineage, and access auditability.

Skills

Python

SQL

Spark

Databricks

ETL/ELT

AWS

Azure

GCP

Agile

Data Modeling

Education

University Degree

Advanced Degree

Tools

Terraform

CloudFormation

GitHub Actions

Jenkins

Job description

RTX is seeking a data engineering professional for a hybrid role in Puerto Rico. You will design and maintain data pipelines collecting structured and unstructured data from ERP/CRM systems, file shares, and SharePoint, ensuring secure data movement and governance across environments.

You will work with cloud services (AWS/Azure/GCP), modern data processing frameworks, and participate in Agile teams to deliver scalable analytics solutions and AI/ML data products.