Data Engineer

Experis is hiring a Data Engineer in Austin, TX (fully onsite) to design and scale enterprise data and AI infrastructure.

Responsibilities

• Design, build, and maintain scalable AI and data platforms and data pipelines for efficient collection, processing, and analysis.
• Lead delivery of modern data solutions including data warehouses, data lakes, and ETL/ELT pipelines.
• Support cloud-based analytics and machine learning data infrastructure.
• Collaborate with semiconductor engineers, data scientists, business stakeholders, and IT teams to provide dependable data systems for enterprise needs.
• Apply expertise in data architecture, data integration, cloud technologies, and software engineering best practices to improve the overall data ecosystem.
• Mentor team members, help set technical direction, and drive continuous improvement across the end-to-end data platform.

Requirements

• 8-10 years of experience in system design, database design, data modeling, and data architecture, preferably in the semiconductor industry or a related high-tech sector.
• Hands-on experience building enterprise software using AI coding tools (example: Cursor, Claude Code).
• Experience with ETL and data/warehousing/integration tools, including Snowflake, Databricks, NiFi, and Postgres.
• SQL and Python proficiency.
• 5+ years of cloud computing experience with AWS, Azure, or GCP; Azure preferred.
• Experience with Infrastructure-As-Code and CI/CD automation.
• Experience collaborating with international teams, particularly in China and India.

Technologies

• Cursor, Claude Code
• SQL, Python
• Snowflake, Databricks
• NiFi, Postgres
• ETL, ELT
• AWS, Azure, GCP
• Infrastructure-As-Code, CI/CD

Location and Pay

• Location: Austin, TX (onsite)
• Salary: USD 75 per hourly
• Minimum experience: 5 years

What’s in it for me

• Opportunity to build and scale enterprise data and AI infrastructure supporting business and engineering outcomes.
• Fully onsite role in Austin, TX with close collaboration across semiconductor engineering, data science, and IT.
• Chance to lead modern data architecture spanning warehouses, lakes, pipelines, and machine learning data infrastructure.
• Mentorship and continuous improvement culture focused on technical direction across the data ecosystem.
• Collaboration with international teams to deliver reliable, secure, and scalable data capabilities.

Benefits

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

Upon completion of the waiting period, consultants are eligible for: Medical and Prescription Drug Plans, Dental Plan, Vision Plan, Health Savings Account, Health Flexible Spending Account, Dependent Care Flexible Spending Account, Supplemental Life Insurance, Short Term and Long Term Disability Insurance, Business Travel Insurance, 401(k) Plus Match, and Weekly Pay.