Senior Data Engineer, Defect Quality & Systems

Role and Responsibilities

• Architect High-Volume Pipelines: Design, build, and monitor robust ETL/ELT pipelines that ingest massive data streams from diverse internal sources, including relational databases, APIs, and web services.
• Engineer Data Quality: Implement advanced data cleaning, augmentation, and normalization workflows to ensure data integrity and prepare datasets for modeling and analysis.
• Collaborate on Data Strategy: Partner with internal customers to identify data gaps and integrate new sources, directly expanding the factory's decision-making capabilities.
• Develop Visual Intelligence: Create and maintain high-performance dashboards and key metrics that serve as the "single source of truth" for business decisions across the factory.
• Drive End-to-End Impact: Lead data initiatives from initial conceptualization through to deployment, ensuring the final data product delivers measurable business value.
• Elevate Technical Standards: Mentor junior team members in data engineering best practices, promoting a culture of clean code, scalable architecture, and rigorous documentation.

Skills and Qualifications

Here's what you'll need:

• Education: BS or MS in Software Engineering, Computer Science, Data Science, Mathematics or related STEM/Engineering degree.
• Experience:  5+ years relevant experience.

• Expert SQL Proficiency: Mastery of SQL for handling high-volume data, complex aggregations, and performance tuning within on-premise data stores.
• Database Architecture: A proven track record of designing and modifying database schemas, with a deep understanding of normalization, data types, and relational integrity.
• Data Visualization: Experience building interactive, user-centric dashboards (Tibco Spotfire, Tableau, or similar) that make complex data insights immediately visible.
• Python Development: Ability to troubleshoot, optimize, and extend existing Python code to automate data workflows.
• Analytical Problem Solving: A disciplined approach to root-cause analysis and a relentless attention to detail when debugging complex data discrepancies.
• Communication Excellence: The ability to translate technical infrastructure challenges into business terms for stakeholders at all levels of the organization.

The current base salary range for this role is between $106,000 - $145,000. Individual base pay rates will depend on factors including duties, work location, education, skills, qualifications and experience. Total compensation for this position will include a competitive benefits package and may include participation in company incentive compensation programs, which are based on factors to include organizational and individual performance.

Total Rewards
At Samsung Austin Semiconductor, base pay is just one part of our total compensation package. The base compensation for this role will depend on education, experience, skills, and location.

We offer a comprehensive benefits package, including:

• Medical, dental, and vision insurance
• Life insurance and 401(k) matching with immediate vesting
• Onsite café(s) and workout facilities
• Paid maternity and paternity leave
• Paid time off (PTO) + 2 personal holidays and 10 regular holidays
• Wellness incentives and MORE
   

Eligible full-time employees (salaried or hourly) may also receive MBO bonuses based on company, division, and individual performance.

All positions at Samsung Austin Semiconductor are full-time on-site.

U.S. Export Control
This role may require access to information subject to U.S. export control laws. Applicants must be authorized to access such information or eligible for government authorization.

Trade Secrets
 By submitting an application, you agree not to disclose to Samsung or induce or encourage Samsung to use any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity.

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