DX Engineer – Data Automation & Ingestion (Onsite)

Samsung Electronics; Taylor (TX); On-site; USD 95,000 - 120,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Onsite gym

Parental leave

Paid time off

Holidays and PTO balance

Job summary

Samsung Austin Semiconductor is seeking a DX Engineer in the Metals Department to modernize data handling on the fab floor. You will build and maintain ingestion pipelines and interaction tools, ensuring security, stability, and minimal manual intervention.

Collaborate with process engineers to turn pain points into automated tooling that improves yield and data usability. You’ll work with millions of data points per second and design scalable systems, enhancing facilities and data owners'

Qualifications

• BS or MS in Computer Science or Engineering.
• Experience building data ingestion pipelines and dashboards.
• Knowledge of secure, scalable web applications and data workflows.

Responsibilities

• Manage health of all digital tools (dashboards, apps, Jari vsscripts).
• Gather VOC feedback for new features and enhancements.
• Implement automated alerting and logging.
• Deliver full‑stack solutions: DB schema design, stored procedures, SQL, FastAPI, Python, Vue.js, Streamlit, JavaScript, HTML/CSS.
• Write clean, modular, documented code for data ingestion, transformation, and analytics.
• Prototype PoCs with rapid iteration cycles and conduct feasibility studies for AI/ML integration.

Skills

Python

Vue.js

JavaScript

HTML/CSS

SQL

PostgreSQL

GitHub Actions

GitLab CI

Data security basics

Education

BS or MS in Computer Science or Engineering

Tools

GitHub Actions

GitLab CI

PostgreSQL

Job description

Samsung Austin Semiconductor is seeking a DX Engineer in the Metals Department to modernize data handling on the fab floor. You will build and maintain ingestion pipelines and interaction tools, ensuring security, stability, and minimal manual intervention.

Collaborate with process engineers to turn pain points into automated tooling that improves yield and data usability. You’ll work with millions of data points per second and design scalable systems, enhancing facilities and data owners'