Data Engineer: Secure Pipelines for Analytics (Hybrid)

Collins Aerospace; Charlotte (NC); Hybrid; USD 87,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance.

Three weeks of vacation

Generous 401(k) with matching

Tuition reimbursement

Student Loan Repayment

Life insurance and disability coverage

Adoption Assistance

Wellness programs

Job summary

Collins Aerospace is seeking a data engineer to design, build, and maintain pipelines that ingest structured and unstructured data across databases, ERP/CRM systems, and file stores. You will implement segmentation, access controls, and data protection across secure environments.

You will collaborate with cross-functional teams on requirements, optimize data workflows for performance, and develop governance-aligned data frameworks for analytics and AI/ML initiatives.

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.
• 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.

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

Databricks

ETL/ELT

Cloud platforms

Agile

Education

University Degree

Advanced Degree

Tools

Terraform

CloudFormation

GitHub Actions

Jenkins

Job description

Collins Aerospace is seeking a data engineer to design, build, and maintain pipelines that ingest structured and unstructured data across databases, ERP/CRM systems, and file stores. You will implement segmentation, access controls, and data protection across secure environments.

You will collaborate with cross-functional teams on requirements, optimize data workflows for performance, and develop governance-aligned data frameworks for analytics and AI/ML initiatives.