Hybrid Data Engineer: Secure Data Pipelines & Analytics

Collins Aerospace; Richardson (TX); 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) plan with match

Tuition reimbursement

Life insurance and disability coverage

Employee assistance program

Wellness and healthy-you programs

Hybrid work model

Job summary

Collins Aerospace in Charlotte, NC is seeking a data engineering professional to design, build, and operate pipelines that ingest, transform, and deliver both structured and unstructured data across hybrid environments. You will implement robust security, data access controls, and scalable architectures that support analytics, AI/ML, and data-driven decision making.

Ideal candidates have strong Python/SQL skills, experience with Spark ecosystems, and cloud services (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.
• Experience with structured and unstructured data, data segmentation, and compliant data handling.
• Proficiency in Python, SQL, and data processing frameworks; familiarity with cloud data services.

Responsibilities

• Design, build, and maintain data pipelines ingesting structured and unstructured data across systems.
• Engineer data solutions with security boundaries and access controls.
• Build scalable architectures enabling analytics, AI/ML and data-driven decisions.
• Collaborate with stakeholders to translate requirements into reliable data engineering solutions.
• Optimize data workflows for performance, observability, and resiliency in cloud/hybrid environments.
• Develop reusable patterns and governance-aligned data frameworks.

Skills

Python

SQL

ETL/ELT

Spark / PySpark

Cloud platforms

Data governance

Agile collaboration

Education

University Degree in a related field

Tools

Databricks

EMR

Glue

Job description

Collins Aerospace in Charlotte, NC is seeking a data engineering professional to design, build, and operate pipelines that ingest, transform, and deliver both structured and unstructured data across hybrid environments. You will implement robust security, data access controls, and scalable architectures that support analytics, AI/ML, and data-driven decision making.

Ideal candidates have strong Python/SQL skills, experience with Spark ecosystems, and cloud services (AWS/Azure/GCP).