Senior Associate, Data Engineer

Experteer Overview In this role you will help build a scalable, secure data platform that enables advanced analytics and AI solutions. You’ll work with cross-functional teams to translate business needs into robust architectures and governance. You will tackle performance, data quality, and integration challenges to support enterprise analytics at scale. This opportunity offers hybrid work, growth, and the chance to shape a data foundation used across the organization. Compensation / Benefits * Design, build, and optimize scalable data models, pipelines, and workflows * Develop modern data architecture standards to improve scalability and reliability * Build robust data ingestion frameworks integrating internal and external datasets * Lead data governance initiatives, including access controls and monitoring * Optimize Snowflake performance through warehouse design and query tuning * Collaborate with engineering teams to deliver scalable technical solutions * Contribute to the evolution of the data platform and AI capabilities Tasks * Bachelor of Science degree in a relevant field * 8+ years of experience in data engineering or analytics engineering * Expertise in enterprise-scale data platforms using Snowflake * Proficiency in SQL for data modeling and performance tuning * Strong Python programming skills for automation and pipeline development * Experience with cloud-native data architectures and orchestration workflows * Knowledge of AI tools and technologies is a plus * Familiarity with enterprise data governance and metadata management practices Key requirements * comprehensive benefits * professional development opportunities

aaaq_ of the data platform and AI capabilities Tasks * Bachelor of Science degree in a relevant field * 8+ years of experience in data engineering or analytics engineering * Expertise in enterprise-scale data platforms using Snowflake * Proficiency in SQL for data modeling and performance tuning * Strong Python programming skills for automation and pipeline development * Experience with cloud-native data architectures and orchestration workflows * Knowledge of AI tools and technologies is a plus * Familiarity with enterprise data governance and metadata management practices Key requirements * comprehensive benefits * professional development opportunities