Data Engineer (Hybrid)

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

Date Posted: 2026-09-21

Country: United States of America

Location: US-NC-CHARLOTTE-2730 ~ 2730 W Tyvola Rd ~ TYVOLA

Position Role Type: Hybrid

U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type: None/Not Required

Security Clearance Status: Not Required

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

** This is a hybrid-based position at one of Collins' major facilities. **

What YOU will do:

• 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.

What You Will Learn:

• How Collins business processes, systems, and data domains operate across engineering, operations, supply chain, quality, and enterprise functions.
• Industry-specific constraints and expectations within the Aerospace & Defense sector related to data security, compliance, and controlled information.
• How sensitive or segregated data sources-file shares, SharePoint, images, engineering documents, operational logs-flow through the business and how they must be protected.
• How to interpret and apply business rules, legal requirements, and security considerations to design data boundaries and manage data movement responsibly.
• Cross-functional coordination practices with program teams, cybersecurity, legal/compliance, DT, engineering, and enterprise operations, enabling tight alignment between business needs and secure data operations.

Qualifications YOU Must Have:

• 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.
• U.S. Citizen - U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
• 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.

Qualifications We Prefer:

• Experience designing data environments where strict security boundaries, data separation, or access controls are essential.
• Familiarity with document processing, OCR, text extraction, image handling, or large unstructured content repositories.
• Background with data governance, lineage, auditability, and automated policy enforcement.
• Experience integrating data from SharePoint, network file shares, and legacy content systems.
• Knowledge of AI/ML data preparation, feature pipelines, or working with high-sensitivity data sets.
• Experience with DevOps and IaC tools such as Terraform, CloudFormation, GitHub Actions, or Jenkins.
• Prior experience in aerospace, defense, manufacturing, or other regulated industries.

What We Offer:

• Medical, dental, and vision insurance.
• Three weeks of vacation for newly hired employees.
• Generous 401(k) plan that includes employer matching funds and separate. employer retirement contribution, including a Lifetime Income Strategy option.
• Tuition reimbursem