AI-Driven Data Engineer: Scalable Platforms, Onsite Austin

VIVA USA Inc; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

VIVA USA Inc is seeking an experienced Data Engineer for a fully onsite role in Austin, TX. You will design, build, and manage scalable data platforms and pipelines to enable data-driven insights across the business.

You will collaborate with semiconductor engineers, data scientists, and IT teams, mentor peers, and lead modern data solutions from data warehouses to cloud analytics platforms, emphasizing reliability, security, and scalable architecture.

Qualifications

• 8–10 years of experience in system design and data architecture.
• Hands-on experience with enterprise software and AI coding tools.
• Proficiency in SQL and Python.
• 5+ years’ experience with cloud platforms (AWS, Azure, or GCP), Azure preferred.
• Experience in semiconductor/high-tech industries and with international teams.
• Experience with Infrastructure-as-Code and CI/CD automation.

Responsibilities

• Lead design and development of modern data solutions including data warehouses, data lakes, ETL/ELT pipelines, cloud analytics platforms, and ML data infrastructure.
• Collaborate with semiconductor engineers, data scientists, business stakeholders, and IT teams to deliver reliable, secure, and scalable data capabilities.
• Mentor team members, influence technical direction, and drive continuous improvement across the data ecosystem.

Skills

SQL

Python

Cloud platforms (AWS/Azure/GCP)

Data modeling

Data architecture

CI/CD automation

Infrastructure-as-code

AI coding tools (Cursor, Claude code)

Tools

Snowflake

Databricks

NiFi

Postgres

Job description

VIVA USA Inc is seeking an experienced Data Engineer for a fully onsite role in Austin, TX. You will design, build, and manage scalable data platforms and pipelines to enable data-driven insights across the business.

You will collaborate with semiconductor engineers, data scientists, and IT teams, mentor peers, and lead modern data solutions from data warehouses to cloud analytics platforms, emphasizing reliability, security, and scalable architecture.