Data Engineer - Secure Data Pipelines (Hybrid, Puerto Rico)

RTX Corporation; Aguadilla (PR); Hybrid; USD 100,000 - 160,000; Full time

Benefits offered by this job

Medical, dental, and vision

3 weeks vacation

401(k) plan

Employee Scholar Program

Life insurance

Disability coverage

Employee Assistance Plan

More benefits

Job summary

RTX Corporation is seeking a Senior Data Engineer to design, build, and maintain data pipelines for structured and unstructured data across hybrid environments. You will implement strict data access controls and segmentation to support secure data separation and governance, working with cross-functional teams.

The role requires expertise in Python, SQL, Spark, and cloud data services, with a focus on ETL/ELT, data modeling, and secure architectures. A U.S.

Qualifications

• Requires a University Degree with 5+ years of experience or an Advanced Degree with 3+ years of experience.
• U.S. Citizenship is required to access the program.
• Experience building pipelines handling structured and unstructured data from repositories and file systems.
• Ability to segment, classify, and secure data per business/legal/compliance rules.
• Proficiency in Python, SQL, and data processing frameworks (Spark, PySpark, Databricks, EMR, Glue).
• Experience with cloud platforms (AWS, Azure, GCP) and native data services.
• Strong ETL/ELT, distributed systems, data modeling, and secure data architecture.
• Ability to work in Agile teams across technical and business functions.

Responsibilities

• Design, build, and maintain data pipelines ingesting and transforming structured and unstructured data.
• Engineer data solutions to segment data domains per rules and security boundaries.
• Implement data access controls, classification, and data protection across environments.
• Build scalable architectures supporting analytics, AI/ML, and data-driven decisions in partitioned landscapes.
• Collaborate with cross-functional stakeholders to translate requirements into secure data engineering solutions.
• Optimize data workflows for performance, observability, and resiliency across cloud/hybrid platforms.
• Develop reusable data patterns, automation, and governance-aligned frameworks.
• Support production data systems with data integrity, lineage, and auditability.

Skills

Python

SQL

Spark

PySpark

Databricks

EMR

Glue

AWS

Azure

GCP

ETL/ELT

Data modeling

Data security

Agile

Collaboration

Education

University degree

Advanced degree

Tools

Terraform

CloudFormation

GitHub Actions

Jenkins

Job description

RTX Corporation is seeking a Senior Data Engineer to design, build, and maintain data pipelines for structured and unstructured data across hybrid environments. You will implement strict data access controls and segmentation to support secure data separation and governance, working with cross-functional teams.

The role requires expertise in Python, SQL, Spark, and cloud data services, with a focus on ETL/ELT, data modeling, and secure architectures. A U.S.