Data Platform Engineer

About the job Location: Glendale, California, USA Employment Type: Full-Time Experience: 5+ Years About The Role We are seeking an experienced Senior Data Engineer to build and optimize scalable data platforms that support business intelligence, analytics, and data-driven decision-making. You will design robust data pipelines, develop efficient data models, and collaborate with cross-functional teams to deliver reliable, high-performance data solutions. Key Responsibilities Design, build, and maintain scalable data pipelines and data platforms. Develop conceptual, logical, and physical data models. Build and optimize ETL/ELT workflows using modern data engineering tools. Work with Snowflake, AWS, dbt, and Airflow to develop reliable data solutions. Optimize SQL queries and improve data processing performance. Collaborate with data engineers, analysts, data scientists, and product teams. Maintain data quality, governance, and documentation standards. Support Agile development practices and continuous platform improvements Requirements 5+ years of experience in Data Engineering. Strong expertise in Python and SQL. Hands-on experience with Snowflake, Airflow, and dbt. Experience with AWS services such as S3, Lambda, SNS, and SQS. Strong understanding of data modeling, ETL/ELT, OLTP & OLAP concepts. Excellent analytical, problem-solving, and communication skills. Bachelor's degree in Computer Science, Information Systems, or related field. Desired Skills and Experience Data Engineer, ETL, AWS Data