Data Engineer (Hybrid)

Date Posted:

2026-08-12

Country:

United States of America

Location:

US-IA-CEDAR RAPIDS-193 ~ 1120 Collins Rd NE ~ BLDG193

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.

• Must be a U.S. Citizen.

• 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 fr