RTX

4 weeks ago

Data Engineer (Puerto Rico)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Data Engineer designing, building and maintaining data pipelines and architectures for structured and unstructured data in hybrid cloud environments, with a focus on secure data separation, governance, and scalability for analytics and AI/ML applications in aerospace/defense.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•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.

Pay and Benefits

Perks:Health InsuranceDentalVision401kLife InsuranceDisability InsurancePensionRemote Work

Key Requirements

•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:5+ yearsAerospaceDefenseData engineering

Education:Bachelor's

Skills:PythonSQLSparkPySparkDatabricksEMRGlueAWSAzureGCPETLData modelingSecurity architectureAgile

Tech Stack:PythonSQLSparkDatabricksEMRGlueAWSAzureGCPPySparkETLDatabasesSharePointEDICloud

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

RTX

Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.

Industry: Aerospace Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Arlington, United States

Founded: 2020

Website

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RTX