Senior Data Engineer

Job Summary

Designing and optimizing cloud-based data architectures, the fully remote Senior Data Engineer will implement and maintain scalable Azure data solutions to support advanced analytics, machine learning operations, and fraud detection initiatives.

Key responsibilities

• Design, implement, and maintain scalable Azure-based data architecture supporting audits, investigations, and fraud analytics
• Develop, optimize, and sustain ELT/ETL pipelines within Azure Synapse Analytics and Azure Machine Learning environments
• Establish source control, version management, and development standards across data engineering assets

Required qualifications

• Bachelor's degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or related discipline; or 5 years of relevant applied experience
• Five or more years of experience maintaining SQL database environments and performing advanced SQL/T-SQL operations
• Five or more years of experience designing and maintaining cloud-based ELT/ETL solutions
• Three or more years of experience working with Azure Synapse Analytics and Azure Machine Learning
• Three or more years of experience developing data solutions using Python and Pandas