The Data Engineer designs, builds, and manages scalable AI and data platforms and pipelines using AI tools, enabling the organization to collect, process, analyze, and leverage data efficiently for business insights.
This role combines hands-on data engineering expertise with strong system design capabilities to support enterprise-wide data and AI initiatives.
Responsibilities:
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.
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.
Experience:
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.
At least 5 years’ experience with cloud computing platforms such as AWS, Clienture, or GCP is highly desirable (Clienture is preferred).
Experience working within semiconductor industry or related high-tech sectors.
Experience collaborating with international teams, particularly in China and India.
Skillsets:
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 & Postgres.
Proficiency in SQL & Python.
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.
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.
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Numbers & Facts
Location
AUSTIN, TX
Skills
Amazon Web Services (AWS)unmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Skillsunmatched
Computer Systemsunmatched
Continuous Deployment/Deliveryunmatched
Continuous Improvementunmatched
Continuous Integrationunmatched
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Scienceunmatched
Data Warehousingunmatched
Database Designunmatched
Database Extract Transform and Load (ETL)unmatched
Ecosystemsunmatched
Enterprise Applicationsunmatched
GCP (Good Clinical Practices)unmatched
High Tech Industryunmatched
Information/Data Security (InfoSec)unmatched
Machine Learningunmatched
Mentoringunmatched
PostgreSQLunmatched
Process Improvementunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Scalable System Developmentunmatched
Semiconductorsunmatched
Snowflake Schemaunmatched
Systems Engineeringunmatched
Team Playerunmatched
Technical/Engineering Designunmatched
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