Data Engineer

Who We Are:  

• 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.  

What We Have to Offer:  

• 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!  

Summary   

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 Microsoftcentric 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. 

Essential Duties and Responsibilities   

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 Azurebased 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 highquality SQL, Python, and PowerShell 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 

Qualifications and Education Requirements   

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 PowerShell 

• Solid understanding of ETL/ELT patterns, data modeling, and CI/CD workflows 

Preferred Skills 

• Experience working in Azure GCCHigh, IL5, or other highersecurity cloud environments 

• Familiarity with SQL S