Secure Data Engineer - Cloud & Hybrid Pipelines

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

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

3 weeks vacation

401(k) with match

Job summary

Collins Aerospace is seeking an experienced data engineer to design and maintain data pipelines for structured and unstructured data. You will implement access controls and data protection across hybrid cloud environments, collaborating with cross-functional teams to meet security requirements.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and hands-on experience with Spark, Databricks, and cloud data services.

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.
• 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.

Responsibilities

• Design, build, and maintain data pipelines that ingest, transform, and deliver structured and unstructured data.
• Engineer data solutions that segment data domains based on business rules and security boundaries.
• Implement data access controls, classification rules, and data protection mechanisms.
• Build scalable architectures for analytics, AI/ML, and data-driven decisions in partitioned data landscapes.
• Partner with stakeholders to translate requirements into reliable data engineering solutions.
• Optimize data workflows for performance, observability, and resiliency across cloud and hybrid platforms.
• Develop reusable data patterns, automation, and governance-aligned frameworks.
• Support production data systems with data integrity, lineage, and access auditability.

Skills

Python

SQL

Spark

PySpark

Databricks

EMR

Glue

AWS

Azure

GCP

ETL/ELT

Distributed systems

Data modeling

Secure data architecture

Agile

Education

University Degree

Tools

Terraform

CloudFormation

GitHub Actions

Jenkins

Job description

Collins Aerospace is seeking an experienced data engineer to design and maintain data pipelines for structured and unstructured data. You will implement access controls and data protection across hybrid cloud environments, collaborating with cross-functional teams to meet security requirements.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and hands-on experience with Spark, Databricks, and cloud data services.