Hybrid Data Engineer - Secure Pipelines (PR)

Prattwhitney; Santa Isabel (PR); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Three weeks vacation

Employer 401(k) with matching

ESP (Employee Scholar Program)

Life insurance

Disability coverage

Employee Assistance Plan (EAP)

Job summary

Collins Aerospace, part of RTX, is seeking a data engineer to design and maintain data pipelines for structured and unstructured data. You will work in a hybrid role with cross-functional teams to implement secure data architectures that support analytics, ML, and data-driven decision making.

The role requires a university degree and 5+ years of relevant experience, or an advanced degree with 3+ years. Strong Python and SQL skills, plus experience with Spark/Databricks and cloud environments,

Qualifications

• Requires University Degree and 5+ years of experience or Advanced Degree with 3+ years of experience.
• Must be a U.S. Citizen.
• Experience with data pipelines handling structured and unstructured data sources.
• Ability to segment, classify, or secure data sets based on business, legal, or compliance requirements.
• Proficiency in Python, SQL, and data processing frameworks (Spark, Databricks, EMR, Glue).
• Experience with cloud platforms and ETL/ELT and secure data architecture principles.

Responsibilities

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

Skills

Python

SQL

Spark

Databricks

Cloud platforms (AWS/Azure/GCP)

ETL/ELT

Agile methodologies

Data security principles

Education

University degree

Advanced degree

Tools

AWS

Azure

GCP

Terraform

Job description

Collins Aerospace, part of RTX, is seeking a data engineer to design and maintain data pipelines for structured and unstructured data. You will work in a hybrid role with cross-functional teams to implement secure data architectures that support analytics, ML, and data-driven decision making.

The role requires a university degree and 5+ years of relevant experience, or an advanced degree with 3+ years. Strong Python and SQL skills, plus experience with Spark/Databricks and cloud environments,