Hybrid Data Engineer: Secure Pipelines for Analytics

RTX; Windsor Locks (CT); Hybrid; USD 87,000 - 165,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

3 weeks vacation

401(k) plan with company match

Job summary

Collins Aerospace is seeking a data engineering professional to design, build, and maintain pipelines that ingest and transform both structured and unstructured data across hybrid environments. You will implement access controls, data segmentation, and governance while delivering scalable analytics-ready architectures for AI/ML and data-driven insights.

The role requires extensive experience with Python, SQL, Spark-based frameworks, 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.
• 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 from databases and ERP/CRM systems and unstructured data like file shares and logs.
• Engineered data solutions that segment data domains based on business rules and security boundaries.
• Implement strict data access controls, classification rules, and data protection mechanisms across environments.
• Build scalable architectures for analytics, AI/ML, and data-driven decision making in partitioned data landscapes.
• Collaborate with cross-functional stakeholders to translate requirements into reliable 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.
• Support production data systems with data integrity, lineage, and auditability.

Skills

Data pipelines

Python

SQL

Spark

Databricks

EMR

Glue

Cloud platforms

ETL/ELT

Agile teamwork

Secure data architecture

Education

University Degree

Advanced Degree in related field

Tools

Terraform

CloudFormation

GitHub Actions

Jenkins

Job description

Collins Aerospace is seeking a data engineering professional to design, build, and maintain pipelines that ingest and transform both structured and unstructured data across hybrid environments. You will implement access controls, data segmentation, and governance while delivering scalable analytics-ready architectures for AI/ML and data-driven insights.

The role requires extensive experience with Python, SQL, Spark-based frameworks, and cloud data services.