Data Engineer IV

To support a global Customer Experience team, the full-time onsite Data Engineer IV will design and maintain scalable data pipelines, develop self-service dashboards, and enable AI-driven analytics while collaborating with cross-functional teams in Menlo Park, CA. Key responsibilities: Design, develop, and maintain scalable batch and streaming data pipelines, optimizing ETL/ELT workflows and data architectures Create interactive data visualizations and self-service dashboards to communicate insights and track key performance indicators Enable AI/ML-powered analytics by building feature pipelines and integrating AI model outputs into operational workflows Required qualifications: 8+ years of experience in data engineering, including building production-grade data pipelines and ETL/ELT processes Strong proficiency in SQL and at least one programming language, preferably Python Experience with data warehousing platforms such as Snowflake, BigQuery, or equivalent Hands-on experience with AI/ML workflows and data quality frameworks Proven ability to manage multiple projects and collaborate with both technical and non-technical stakeholders