Data Engineer

Job Title

Data Engineer

Role Summary

Work on engineering analytics and data platform solutions for semiconductor test data (wafer sort, final test, parametric). The role covers design and implementation of end-to-end ETL/ELT pipelines, data modeling, performance optimization, and production readiness in collaboration with test and IT teams.

Experience Level

Mid-level. Prefers candidates with roughly 2–4 years of relevant Data Engineering / Platform Engineering experience.

Responsibilities

The role is responsible for developing scalable data pipelines, analytics, and dashboards to support test engineering, yield improvement, and operational insights.

• Design, develop, and maintain engineering analytics solutions, dashboards, and digital platforms.
• Implement end-to-end ETL/ELT pipelines for large-scale semiconductor test datasets (ingestion → transformation → modeling → consumption).
• Develop business logic and data transformations for test workflows (e.g., binning, yield analysis, parametric trend evaluation).
• Prototype data solutions to support analytics and test program optimization use cases.
• Translate business requirements into scalable data architectures for high-volume, high-velocity ingestion and processing.
• Partner with IT to productionize pipelines, ensuring reliability, monitoring, observability, and governance.
• Optimize pipeline performance for large STDF/ATE data and distributed processing.
• Drive projects end-to-end, including planning, deployment, and post-implementation support and reporting.

Requirements

Must-have technical skills and experience; degrees and formal education details are listed under Education Requirements below.

• 2–4 years of Data Analytics / Platform Engineering or Data Engineering experience.
• Hands-on Python experience (PySpark, Pandas, ETL frameworks).
• Strong SQL skills, including data modeling and performance tuning.
• Experience building and operating end-to-end ETL/ELT pipelines and data architectures at scale.
• Experience productionizing pipelines with monitoring, reliability, and governance in collaboration with IT.
• Familiarity with cloud ETL best practices and distributed processing for large datasets.
• Ability to rapidly prototype solutions and translate business needs into technical implementations.
• Nice-to-have: direct experience with semiconductor test data formats (STDF/ATE), yield analysis, binning logic, parametric trend analysis, and executive dashboards.

Education Requirements

Found mentions of: Bachelor's degree in Engineering, Information Systems, Computer Science, Electrical/Electronics Engineering, or related field (with 2–4 years of related work experience); Master's degree in those fields (with 1+ years of related work experience). The posting also accepts related work experience in lieu of a degree.

About the Company

Company: Qualcomm

Headquarters: San Diego, California, United States

Qualcomm is a global leader in semiconductor and telecommunications equipment, specializing in mobile technologies and innovations. Known for its Adreno GPUs, the company provides solutions enabling advancements in mobile gaming, AI, VR/AR, and autonomous driving. Qualcomm's cutting-edge technology and commitment to high-performance, power-efficient designs drive the evolution of mobile graphics and connectivity worldwide.