Data Engineer

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 Microsoft-centric ecosystem and has deep hands‑on experience with Azure Data Factory, Snowflake, dbt, and SQL‑driven 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 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 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) Hands‑on 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 high‑security cloud environments Familiarity with SQL Server administration concepts or collaboration with DBA teams Experience with Azure DevOps, 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 Security Responsibilities 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. Due to U.S. Government contract requirements, only U.S. citizens are eligible for this role. Work Environment Duties performed in an office environment and manufacturing facility. Must be able to work overtime on and off‑shifts as required. Equal Opportunity CAE USA Inc. is an equal opportunity employer, and all qualified applicants will be considered for employment without regard to any protected characteristic, including disability and protected veteran status, as defined under federal, state, or local laws. Applicants needing reasonable accommodations should contact their recruiter at any point in the recruitment process. If you need assistance to submit your application because of incompatible assistive technology or a disability, please contact us at View email address on click.appcast.io. #J-18808-Ljbffr