Senior Data Engineer - Secure Cloud Pipelines | Hybrid

Collins Aerospace; Cedar Rapids (IA); Hybrid; USD 87,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

3 weeks vacation

401(k) matching

Job summary

Collins Aerospace is seeking a data engineer to design, build, and maintain pipelines ingesting structured and unstructured data across ERP/CRM, SharePoint, files, and logs. You will segment data domains, implement access controls, and enable secure data enablement in cloud and hybrid environments.

The role emphasizes scalable architectures for analytics and AI/ML, collaboration with program teams, cybersecurity, and enterprise operations to meet business and compliance requirements.

Qualifications

• Experience building pipelines for structured and unstructured data.
• Knowledge of data security, classification, and access controls.

Responsibilities

• Design, build, and maintain data pipelines ingesting structured and unstructured data.
• Engineer data solutions with data domain segmentation based on business rules and security boundaries.
• Implement data access controls and governance to support secure data separation across environments.
• Build scalable architectures for analytics, AI/ML, and data-driven decision making in hybrid environments.
• Collaborate with cross-functional teams to translate requirements into secure data engineering solutions.
• Optimize data workflows for performance and observability across cloud and hybrid platforms.
• Develop reusable patterns and governance-aligned data frameworks.

Skills

Python

SQL

Spark

Databricks

PySpark

EMR

Glue

AWS

Azure

GCP

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 ingesting structured and unstructured data across ERP/CRM, SharePoint, files, and logs. You will segment data domains, implement access controls, and enable secure data enablement in cloud and hybrid environments.

The role emphasizes scalable architectures for analytics and AI/ML, collaboration with program teams, cybersecurity, and enterprise operations to meet business and compliance requirements.