Data Engineer

Our client, a high-tech organization focused on data and AI enablement, is seeking a Data Engineer to join their team. As a Data Engineer, you will be part of the data and analytics organization supporting enterprise-wide data and AI initiatives. The ideal candidate will have strong system design thinking, hands-on data engineering expertise, and the communication skills to collaborate across engineering, data science, and business stakeholders—aligning successfully to deliver reliable, secure, and scalable data capabilities. Job Title: Data Engineer Location: Austin, TX Pay Range: $75 What's the Job? Design, build, and manage scalable AI and data platforms and pipelines that enable efficient data collection, processing, and analysis for business insights. Lead the development of modern data solutions, including data warehouses, data lakes, and ETL/ELT pipelines, as well as cloud-based analytics and machine learning data infrastructure. Collaborate closely with semiconductor engineers, data scientists, business stakeholders, and IT teams to deliver dependable data systems that support enterprise needs. Apply deep expertise in data architecture, data integration, cloud technologies, and software engineering best practices to improve the data ecosystem. Mentor team members, influence technical direction, and drive continuous improvement across the end-to-end data platform. What's Needed? 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 building enterprise software with AI coding tools (example: Cursor, Claude Code) and using ETL and data/warehousing/integration tools such as Snowflake, Databricks, NiFi, and Postgres. Proficiency in SQL and Python. At least 5+ years of cloud computing experience (AWS, Azure, or GCP); Azure is preferred. Experience with Infrastructure-As-Code and CI/CD automation, plus experience collaborating with international teams, particularly in China and India. What's in it for me? Opportunity to build and scale enterprise data and AI infrastructure that directly supports business and engineering outcomes. Work in a fully onsite role in Austin, TX, collaborating in close partnership with semiconductor engineers, data scientists, and IT teams. Chance to lead modern data architecture across warehouses, lakes, pipelines, and machine learning data infrastructure. Environment that values continuous improvement, technical direction, and mentorship within the data ecosystem. Collaboration with international teams to deliver reliable, secure, and scalable data capabilities. Upon completion of 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 Weekly Pay About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent. #J-18808-Ljbffr Experis Technology Group