Hybrid Data Engineer — Secure Pipelines & Analytics

RTX (Raytheon); Charlotte (NC); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical benefits

3 weeks vacation

401(k) plan

Tuition reimbursement

Job summary

Collins Aerospace, a leader in aerospace and defense data solutions, seeks a Data Engineer for hybrid work at a major facility. You will design and maintain pipelines ingesting structured/unstructured data, apply security controls, and build scalable data architectures for analytics and AI/ML.

Collaboration across engineering, security, and operations is required. Require 5+ years in data engineering, strong Python/SQL, and experience with Spark/PySpark/Databricks on cloud services.

Qualifications

• University degree with 5+ years of relevant experience, or an advanced degree with 3+ years.
• U.S. Citizen — access restrictions apply to this program/contract.
• Experience building pipelines for structured and unstructured data sources.
• Ability to segment, classify, or secure data sets per business/compliance requirements.
• Proficiency in Python, SQL, and data processing frameworks (Spark, PySpark, Databricks, EMR, Glue).
• Experience with cloud platforms (AWS, Azure, or GCP) and their native data services.
• Knowledge of 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 structured and unstructured data.
• Engineer data solutions for data domain segmentation based on rules and security.
• Implement data access controls and data protection across environments.
• Build scalable architectures for analytics, AI/ML, and data-driven decisions.
• Collaborate with cross-functional stakeholders to translate requirements into data solutions.
• Optimize data workflows for performance, observability, and resiliency across cloud and hybrid platforms.
• Develop reusable patterns, automation, and governance-aligned data frameworks.
• Support production data systems with data integrity, lineage, and auditability.

Skills

Python

SQL

Agile experience

Education

University Degree

Advanced Degree

Tools

Spark

PySpark

Databricks

EMR

Glue

AWS

Terraform

CloudFormation

GitHub Actions

Jenkins

Job description

Collins Aerospace, a leader in aerospace and defense data solutions, seeks a Data Engineer for hybrid work at a major facility. You will design and maintain pipelines ingesting structured/unstructured data, apply security controls, and build scalable data architectures for analytics and AI/ML.

Collaboration across engineering, security, and operations is required. Require 5+ years in data engineering, strong Python/SQL, and experience with Spark/PySpark/Databricks on cloud services.