Data Engineer (Puerto Rico)

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

Date Posted:

2026-09-21

Country:

United States of America

Location:

US-PR-SANTA ISABEL-B1 ~ Felicia Industrial Park - St B1 ~ BLDG 1

Position Role Type:

Hybrid U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance:

None/Not Required

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

** This is a Hybrid position in Puerto Rico, candidate must reside in Puerto Rico

What YOU will do:

• Design, build, and maintain data pipelines that ingest, transform, and deliver structured data (databases, ERP/CRM systems, operational systems) and unstructured data such as file shares, SharePoint repositories, images, documents, logs, and engineering artifacts.
• Engineer data solutions that can logically and physically segment data domains based on business rules, regulatory requirements, and security boundaries.
• Implement strict data access controls, classification rules, and data protection mechanisms to support secure data separation across environments.
• Build scalable architectures that support analytics, AI/ML, digital products, and data-driven decision making within sensitive or highly partitioned data landscapes.
• Partner with cross-functional stakeholders to translate complex business and compliance requirements into reliable, secure 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 that accelerate secure data enablement across the organization.
• Support production data systems with strong attention to data integrity, lineage, and access auditability.

What You Will Learn:

• How Collins business processes, systems, and data domains operate across engineering, operations, supply chain, quality, and enterprise functions.
• Industry‑specific constraints and expectations within the Aerospace & Defense sector related to data security, compliance, and controlled information.
• How sensitive or segregated data sources-file shares, SharePoint, images, engineering documents, operational logs-flow through the business and how they must be protected or partitioned.
• How to interpret and apply business rules, legal requirements, and security considerations to design data boundaries and manage data movement responsibly.
• Cross‑functional coordination practices with program teams, cybersecurity, legal/compliance, DT, engineering, and enterprise operations, enabling tight alignment between business needs and secure data operations.

Qualifications YOU Must Have:

• 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.

Qualifications We Prefer:

• Experience designing data environments where strict security boundaries, data separation, or access controls are essential.
• Familiarity with document processing, OCR, text extraction, image handling, or large unstructured content repositories.
• Background with data governance, lineage, auditability, and automated policy enforcement.
• Experience integrating data from SharePoint, network file shares, and legacy content systems.
• Knowledge of AI/ML data preparation, feature pipelines, or working with high-sensitivity data sets.
• Experience with DevOps and IaC tools such as Terraform, CloudFormation, GitHub Actions, or Jenkins.
• Prior experience in aerospace, defense, manufacturing, or other regulated industries.