Data Engineer - Secure Pipelines for AI/Analytics (Hybrid)

Collins Aerospace; Santa Isabel (PR); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Generous 401(k) plan including match

Three weeks vacation for new employees

Job summary

Collins Aerospace in Puerto Rico is seeking a senior data engineer to design, build, and maintain data pipelines ingesting structured and unstructured data across ERP/CRM and file shares. You will develop scalable, secure data architectures for analytics, AI/ML, and data-driven decisions in hybrid cloud environments.

The role requires 5+ years of relevant experience, strong Python/SQL, and cloud platform experience (AWS/Azure/GCP).

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 (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.

Skills

Python

SQL

Spark

PySpark

Databricks

AWS

Azure

GCP

ETL/ELT

Data modeling

Data security

Education

University Degree

Advanced Degree

Tools

Databricks

EMR

Glue

Airflow

Job description

Collins Aerospace in Puerto Rico is seeking a senior data engineer to design, build, and maintain data pipelines ingesting structured and unstructured data across ERP/CRM and file shares. You will develop scalable, secure data architectures for analytics, AI/ML, and data-driven decisions in hybrid cloud environments.

The role requires 5+ years of relevant experience, strong Python/SQL, and cloud platform experience (AWS/Azure/GCP).