{"id":4052610,"url":"https://alion.io/job/qualcomm-data-engineer-yield-automation-3dic-platforms","title":"Data Engineer – Yield Automation (3DIC Platforms)","company":{"id":94,"name":"Qualcomm","domain":"qualcomm.com","url":"https://alion.io/company/qualcomm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"C","score":69,"open_postings":1044,"ghost_share":0.257,"stale_share":0.149,"repost_share":0.45,"time_to_fill_p50_days":73,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hsinchu, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"PostgreSQL","optional":true},{"name":"Rest-Assured","optional":true}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T02:33:30Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Company:\nQualcomm Semiconductor LimitedJob Area:\nEngineering Group, Engineering Group > ASICS EngineeringGeneral Summary:\nGeneral Summary:\nWe are seeking a Data Engineer to help build and scale the data foundations of the Yield Architecture & Engineering automation function in Taiwan. The goal of this function is step-change efficiency: turning multi-week engineering analysis cycles into days by connecting data sources directly, validating inputs and outputs automatically, and eliminating manual back-and-forth. The engineer will work closely with the automation scaling team to accelerate platform maturity, improve stability, and establish scalable data foundations, ultimately expanding into broader automation initiatives across the team.\nMinimum Qualifications:\n• Bachelor's degree in Science, Engineering, or related field.Key Responsibilities:\nData Platform Development\nDesign, build, and maintain SQL- and Python-based data pipelines and APIs that deliver wafer-, die-, and bin-level test data to engineering applications on demand.\nCollaborate on data schema design and quality checks to support long-term platform growth.\nDiagnose and improve query and pipeline performance on large production tables through sound indexing, query design, and caching.\nVerify every change with before/after comparisons and regression checks so the platform stays stable as usage grows.\nAutomation & Data Quality\nAutomate input and output quality checks so that data issues are caught before they cause rework or repeated iterations.\nAutomate recurring data processing, validation, and reporting tasks to shorten turnaround time.\nDocument data flows, design decisions, and known issues to support knowledge sharing and team scaling.\nCollaboration\nWork with yield, diagnostics, and design engineers across Taiwan, the US, and India to translate data requirements into practical tools.\nRamp up quickly on existing platforms, team processes, and 3DIC domain context with mentorship support.\nMinimum Qualifications:\nBachelor’s degree in a related field with 2+ years of relevant experience.\nOR\nMaster’s degree in Engineering, Computer Science, Information Management, Data Science, or a related field, with 0-2 years of relevant experience; \nPreferred Qualifications:\nExposure to semiconductor manufacturing, yield analysis, quality engineering, or 3DIC-related topics (through coursework, projects, or work experience).\nExperience applying data analytics or statistical methods to identify issues, improve processes, or support decision-making in a technical or manufacturing environment.\nFamiliarity with data visualization, frontend data integration, or building data applications.\nDemonstrated ability to learn new domains quickly and contribute to cross-functional automation or scaling initiatives.\nGood communication skills and a collaborative, proactive attitude.\nPreferred Skills:\nDemonstrated industry-level data analytics experience, through work or substantial projects, applied to real engineering or manufacturing problems.\n3DIC knowledge through coursework, projects, or work experience (for example, wafer stacking, hybrid bonding, TSV, stack genealogy, or 3DIC reliability).\nHands-on SQL (joins, aggregation, indexing; PostgreSQL preferred) and Python (pandas or equivalent).\nExperience building or maintaining a data pipeline, data application, or analytics workflow.\nStrong problem-solving skills and the ability to ramp up quickly in a new technical environment.\nApplicants: 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  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).\nQualcomm 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.\nTo all Staffing and Recruiting Agencies:Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. 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