Data Engineer 4

Tasks

• Design and develop scalable enterprise data platforms and pipelines
• Build ETL/ELT, data integration, data warehouse and data lake solutions
• Drive data architecture, database design and data modeling initiatives
• Develop solutions using SQL and Python
• Work with Snowflake, Databricks, NiFi and PostgreSQL
• Leverage cloud platforms including Azure, AWS or GCP – Azure preferred
• Support AI/ML data infrastructure and modern data/AI initiatives
• Utilize AI coding tools such as Cursor and Claude Code
• Implement CI/CD and Infrastructure-as-Code automation
• Collaborate with data scientists, semiconductor engineers, business stakeholders and IT teams
• Help establish technical direction and mentor other team members

Requirements

• Required: Python and AI tools.
• 8–10+ years of experience in data engineering, system design, database design, data modeling or data architecture
• Strong hands-on experience with SQL and Python
• Experience with Snowflake, Databricks, NiFi and/or PostgreSQL
• 5+ years of cloud experience with Azure, AWS or GCP
• Experience building enterprise-scale data platforms and pipelines
• Knowledge of CI/CD and Infrastructure-as-Code
• Strong communication and stakeholder collaboration skills
• Semiconductor or high-tech industry experience is highly preferred
• Experience working with international/global teams is a plus

Schedule

• 12-month contract
• Fully Onsite

How to apply

• Interested?

Location

• Austin, TX