Data Engineer

TekWissen • Austin, TX

20h • Onsite

About The Position

The Data Engineer will lead the design and development of modern data solutions, including data warehouses, data lakes, ETL/ELT pipelines, cloud-based analytics platforms, and machine learning data infrastructure. The successful candidate will collaborate closely with semiconductor engineers, data scientists, business stakeholders, and IT teams to deliver reliable, secure, and scalable data capabilities. This position requires deep expertise in data architecture, data integration, cloud technologies, and software engineering best practices, as well as the ability to mentor team members, influence technical direction, and drive continuous improvement across the data ecosystem.

Requirements

• 8-10 years of experience in system design, database design, data modeling, and data architecture preferably within the semiconductor industry or related high-tech sectors.
• Hands-on experience with building enterprise software with AI coding tools (example Cursor, Claude Code), a variety of ETL and database/warehousing/integration tools like Snowflake, Databricks, NiFi, and Postgres.
• Proficiency in SQL and Python.
• At least 5+ years’ experience with cloud computing platforms such as AWS, Azure, or GCP is highly desirable (Azure is preferred).
• Experience working within semiconductor industry or related high-tech sectors.
• Experience collaborating with international teams, particularly in China and India.
• Experience with Infrastructure-As-Code and CI/CD automation.
• Strong communication skills and the ability to collaborate effectively with semiconductor engineers, data scientists, and business stakeholders.

Responsibilities

• Lead the design and development of modern data solutions, including data warehouses, data lakes, ETL/ELT pipelines, cloud-based analytics platforms, and machine learning data infrastructure.
• Collaborate closely 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.

What This Job Offers

• Career Level: Senior
• Education Level: No Education Listed