Data Pipeline Engineer

A globally leading consumer device company headquartered in Cupertino, CA is looking for Data Pipeline Engineer to join their team. Job Requirements: • Agentic AI prototype and development for data analyze and processing • Building efficient and scalable data pipelines with monitoring and reporting for multimedia data; • Developing dashboards to visualize and provide insights. • Identifying entities, data, and their relationships within the application, considering the constraints of the stack (e.g. SQL, vector, and unstructured data). • Creating and maintaining database schemas, choosing appropriate data types, and understanding normalization and denormalization. • Optimizing and tuning databases and queries for maximum performance and reliability, considering SQL, vector, and unstructured database. • Ensuring compliance with data security and privacy regulations. • Developing front-end and back-end components of data-driven applications, creating APIs, and integrating data with various technologies. Candidate qualifications: • 6 years of software development experience in Data Modeling, Database Design & Optimization, scalable data pipelines for image and video data processing, and full-stack development using Python and SQL. • 3 years of experience developing data warehouse and data analytics solutions using technologies such as Airflow, Trino, Spark, and Snowflake. • 3 years of experience developing data processing pipelines on cloud platforms. • Demonstrated software development skills using Python. • Proficiency with tools like FFmpeg, GStreamer, OpenCV, and potentially AI/ML frameworks like TensorFlow or PyTorch for video analysis. • Agentic AI development experience preferred. • Bachelor’s degree, Master’s degree, or above in Computer Science, Software Engineering, or a related field. Type: Contract Duration: 5 months with extension Work Location: Cupertino, CA (hybrid) Pay range: $ 85.00 - $ 100.00 W2 (DOE)