Data Engineer

CAE Vision: Our vision is to be the worldwide partner of choice in defense and security, and civil aviation by revolutionizing our customers’ training and critical operations with digitally immersive solutions to elevate safety, efficiency and readiness.

CAE Defense & Security Mission: CAE's Defense and Security business unit focuses on helping prepare military customers to develop and maintain the highest levels of mission readiness.

CAE Values: Empowerment, Innovation, Excellence, Integrity and OneCAE make us who we are and we strive to make a difference in the world while helping each other succeed.

• Comprehensive and competitive benefits package and flexibility that promotes work-life balance
• A work environment where all employees are valued, respected and safe
• Freedom to succeed by enabling team members to deliver, take initiatives and make decisions
• Recognition, professional development, advancement and having fun!

We are seeking an experienced Data Engineer to join our data architecture team and help expand and optimize our modern data lakehouse environment. This role is ideal for someone who thrives in a Microsoft-centric ecosystem and has deep handson experience with Azure Data Factory, Snowflake, dbt, and SQLdriven data engineering. You will collaborate with DBAs, analysts, and business stakeholders to design scalable data pipelines, improve data quality, and support enterprise analytics across our cloud data platform.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Build, enhance, and maintain scalable data pipelines using Azure Data Factory
• Develop, test, and optimize dbt models for Snowflake and Azure based lakehouse workloads
• Engineer ingestion, transformation, and orchestration workflows across Azure Data Lake Storage
• Implement best practices for Snowflake performance tuning, cost optimization, and data modeling
• Integrate SQL Server data sources and collaborate with DBAs on operational data flows
• Write high quality SQL, Python, and Power Shell to automate and improve data workflows
• Monitor pipeline performance, troubleshoot issues, and ensure data reliability and SLA adherence
• Partner with business teams to translate data requirements into robust engineering solutions
• Contribute to data governance, documentation, and metadata management initiatives
• Participate in code reviews and help establish engineering standards and reusable patterns

This candidate should have a BS in computer science, information technology or related technical/engineering field.

• 3+ years of professional experience in data engineering or a related field
• Strong expertise with Azure Data Factory (pipelines, triggers, integration runtimes) and other
• Handson experience with Snowflake (warehousing, Snowpipe, RBAC, performance tuning)
• Proficiency with dbt (models, tests, macros, documentation)
• Advanced SQL skills and experience working with large, complex datasets
• Experience with Azure Data Lake Storage and modern Data Lakehouse architecture
• Scripting experience with Python and/or Power Shell
• Solid understanding of ETL/ELT patterns, data modeling, and CI/CD workflows

• Experience working in Azure GCCHigh, IL5, or other higher security cloud environments
• Familiarity with SQL Server administration concepts or collaboration with DBA teams
• Experience with Azure Dev Ops, Git, or similar version control and deployment tools
• Knowledge of data governance frameworks, lineage, and cataloging tools
• Background in performance optimization for cloud based data platforms

Must comply with all company security and data protection / usage policies and procedures. Personally responsible for proper marking and handling of all information and materials, in any form. Shall not divulge any information, or afford access, to other employees not having a need-to-know. Shall not divulge information outside company without management approval. All government and proprietary information will be accessed and stored electronically on company provided resources.

• Incumbent must be eligible for DoD Personal Security Clearance.

• Duties performed in an office environment and manufacturing facility.
• Must be able to work overtime on and off-shifts as required.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for their job. Duties, responsibilities, and activities may change at any time with or without notice.