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CAE USA

Data Engineer

CAE USA

. Build, enhance, and maintain scalable data pipelines using Azure Data Factory .

Posted 4/28/2026full-timeArlington • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureETLPythonSQL

About the role

Key responsibilities & impact
  • 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 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Comprehensive and competitive benefits package
  • 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!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Azure Data FactorydbtSnowflakeSQLPythonPowerShellETLELTdata modelingCI/CD
Soft Skills
collaborationtroubleshootingdata governancedocumentationcommunication
Certifications
BS in computer scienceBS in information technologyBS in related technical field