Data Engineer

Company: Qualcomm Semiconductor Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements.

Design, develop, maintain, and support engineering analytics solutions, dashboards, and digital platforms. Design and implement end‑to‑end ETL/ELT pipelines (ingestion → transformation → modeling → consumption) for large‑scale semiconductor test data (wafer sort, final test, and parametric datasets). Develop business logic and data transformations aligned with test engineering workflows, including binning (hard/soft bin), yield analysis, and parametric trend evaluation. Rapidly prototype data solutions to support evolving analytics, yield improvement initiatives, and test program optimization use cases. Translate business needs into scalable and maintainable data architectures that support high‑volume, high‑velocity test data ingestion and processing. Partner with IT to productionize pipelines, ensuring reliability, monitoring, observability, and governance for mission‑critical test data systems. Improve existing pipelines by applying cloud ETL best practices, focusing on performance optimization for large STDF/ATE data and distributed processing. Drive End-to-end project execution from initiation through deployment and post-implementation support. Develop and maintain project plans, schedules, status reports, and executive dashboards Identify opportunities to improve workflows, productivity, and operational efficiency.

2-4 years in Data Analytics / Platform Engineering. Hands‑on Expertise Python (PySpark, Pandas, ETL frameworks). SQL (data modeling, performance tuning).

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2-4 years of Data Engineering, ETL Development experience, or related work experience. Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ years of Data Engineering, ETL Development experience, or related work experience. Minimum Qualifications: • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail  disability-accomodations@qualcomm.com  or call Qualcomm's toll-free number found  here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and