Metals DX Engineer

Samsung ElectronicsTaylor, TX
$95,000 - $120,000Onsite

About The Position

The main focus of the DX Engineer in the Metals Department at Samsung Austin Semiconductor is to update how data and tools are handled on the fab floor. They build and maintain the data ingestion pipelines and interaction tools that the department relies on, ensuring security, stability, and minimal manual intervention. A significant part of their role involves collaborating with equipment and process engineers to identify areas for improvement, translating these pain points into automated tools to accelerate quality issue detection and enhance overall yield. They are responsible for making sense of millions of data points collected every second and transforming them into usable information for process and equipment owners.

Requirements

  • BS or MS in Computer Science or Engineering.
  • Python (pandas, NumPy, FastAPI, streamlit).
  • SQL & modern data-warehouse concepts.
  • CI/CD tools (GitHub Actions, GitLab CI).
  • Experience designing scalable application schemas and systems.
  • Data-security & compliance basics.
  • Strong multitasking and project‑management abilities.
  • Problem-solving & analytical thinking.
  • Agile/Scrum Collaboration.
  • Communication- ability to translate technical concepts for non-technical stakeholders.
  • Continuous learning mindset.
  • Time-management & prioritization.

Nice To Haves

  • Web app development experience (Vue.js, Javascript, HTML/CSS) is a plus.

Responsibilities

  • Manage health of all digital tools (dashboards, apps, Jarvis scripts).
  • Gather Voice‑of‑the‑Customer (VOC) feedback for new features and enhancements.
  • Implement automated alerting and logging.
  • Deliver full‑stack solutions, including: Database- schema design, table creation, stored procedures, and SQL (PostgreSQL) / Web‑app - FastAPI, Python, Vue.js, Streamlit, JavaScript, HTML/CSS, jQuery.
  • Perform regular patching, dependency upgrades, and security hardening.
  • Write clean, modular, and documented code for data ingestion, transformation, and analytics.
  • Build reusable libraries and create scheduled scripts.
  • Prototype PoCs using rapid-iteration cycles (Design > Build > Test > Refine).
  • Conduct feasibility studies for AI/ML integration, low-code platforms, or RPA where appropriate.
  • Inter-departmental collaboration.
  • Maintain a central knowledge base.

Benefits

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