AI Data Engineer

Job Title: AI Data Engineer Location : Menlo Park, CA (Hybrid Onsite -4 Days Onsite Per Week) Duration : 6+ Months Contract or Fulltime Teams Meeting Interview Job Description: AI Data Engineer with 5–8 years of experience building scalable data pipelines to support Data science models. Requires strong Streaming data and Spark/Python skills, solid experience with distributed data processing, and the ability to deliver reliable data systems for batch and real-time workloads. AdTech experience is a plus. Key Responsibilitie • sBuild and maintain batch and real-time data pipelines supporting Data Science, analytics, and operational use cases • .Develop scalable data models, ETL/ELT pipelines, and distributed processing jobs across structured and unstructured data • .Implement ingestion, transformation, streaming, storage, and data quality solutions using Spark, Kafka, Python, and modern data frameworks • .Partner with product, engineering, analytics, and data science teams to deliver reliable, privacy-aware, and cost-efficient data platforms .Required Qualification • sBS/MS in Computer Science, Engineering, Data Science, or related field • .5–8 years in data engineering, software engineering, or platform engineering with strong experience building scalable data pipelines and distributed systems • .Strong proficiency in Spark and Python, with hands-on experience in production-grade data engineering and cloud-based data platforms • .Hands-on with Spark, Kafka, HBase, Presto, Hive Flink, Airflow/Beam, SQL/NoSQL, cloud platforms, and AI/ML data enablement .