Senior Data Engineer

Job Title: Senior Data Scientist / Data Engineer (AWS + AI) Location: Torrance, CA (Onsite) Experience: 11+ Years Role Overview We are looking for a Senior Data Scientist / Data Engineer with strong expertise in AWS data ecosystem and emerging AI technologies. This role combines data engineering, distributed processing, and Agentic AI innovation to build scalable, high-performance data solutions. Key Responsibilities • Design, build, and optimize data pipelines and ETL workflows on AWS • Develop scalable data solutions using Spark, AWS Glue, EMR, and Redshift • Lead data modeling, performance tuning, and warehouse optimization initiatives • Build and manage high-performance ETL pipelines into Amazon Redshift • Implement workflow orchestration using Airflow, Step Functions, and Lambda • Work on next-gen AI solutions leveraging Agentic AI frameworks (A2A, MCP, LangGraph, Claude, Kiro) • Use AI-assisted development tools (GitHub Copilot) to accelerate engineering productivity • Enable reporting and analytics through strong data warehousing design (star/snowflake schemas) Required Skills • 8+ years in data warehousing / data engineering, with 4+ years in AWS ecosystem • Strong experience in distributed data processing (Spark, Glue, EMR) • Hands-on with Python, PySpark, and SQL • Expertise in Amazon Redshift (performance tuning, schema design, workload management) • Experience in ETL pipeline development and optimization • Knowledge of data modeling & dimensional design concepts • Familiarity with Iceberg tables (preferred) • Experience with Airflow, AWS Step Functions, and Lambda orchestration • Exposure to Agentic AI & modern AI/ML frameworks Qualifications • Bachelor’s Degree in Engineering / Technology