Data Engineer (Puerto Rico)

RTX; Aguadilla (PR); Hybrid; USD 90,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Generous 401(k) plan with employer匹配

Employee Scholar Program (ESP)

Life insurance and disability coverage

Employee Assistance Plan with up to 8,

Job summary

RTX's Collins Aerospace in Puerto Rico seeks a Data Engineer to design and maintain data pipelines across ERP/CRM and engineering artifacts, enabling secure data access and scalable analytics in hybrid cloud environments. You will work with Python, SQL, Spark, and Databricks, apply data governance, and collaborate in Agile teams to deliver compliant, high-integrity data solutions across secure boundaries.

This role requires U.S.

Qualifications

• requires a university degree and 5+ years of experience or an advanced degree with 3+ years of experience.
• U.S. citizenship is required.
• Experience engineering pipelines with structured and unstructured data across enterprise repositories.

Responsibilities

• Design, build, and maintain data pipelines ingesting structured and unstructured data.
• Implement data access controls and secure data separation across environments.
• Optimize data workflows for performance, observability, and resiliency in cloud/hybrid platforms.
• Collaborate with stakeholders to translate requirements into secure data solutions.

Skills

Python

SQL

Spark

Databricks

ETL/ELT

Cloud platforms

Agile

Education

Bachelor's degree in Computer Science or related field

Advanced degree (optional)

Tools

AWS

Azure

GCP

Terraform

GitHub Actions

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.

What We Offer:

• Some of our competitive benefits packages include:
• Medical, dental, and vision insurance
• Three weeks of vacation for newly hired employees
• Generous 401(k) plan that includes employer matching funds
• Participation in the Employee Scholar Program (ESP)
• Life insurance and disability coverage
• Employee Assistance Plan, including up to 8 free counseling sessions
• And more!

* Please consider the following role type definitions as you apply for this role.

Hybrid : Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Regardless of your role type, collaboration and innovation are critical to our business and all employees will have access to digital tools so they can work with colleagues around the world - and access to Collins sites when their work requires in-person meetings.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other - propel us all higher, again and again.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.

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