Data Engineer – Manufacturing & AI Solutions

About the role

Teradyne is seeking a Data / AI Engineer to design and develop data, analytics, and AI solutions that support decision‑making across Manufacturing, Test, and Operations. You will work with cross‑functional teams to turn operational challenges into scalable data pipelines and machine‑learning models.

Key responsibilities

• Design, build, and maintain scalable data pipelines for manufacturing, test, and operational data.
• Establish data schemas, logging practices, and quality processes to enable reliable analytics and AI applications.
• Develop analytics‑ready datasets, reporting layers, and self‑service dashboards using SQL and BI tools such as Power BI.
• Collaborate with Operations and Engineering to deliver sustainable data solutions and support machine‑learning model training, evaluation, and deployment.

Required profile

• B.S. in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
• Minimum 3 years of experience delivering production‑quality data solutions or applied ML systems.
• Strong English proficiency.

Required skills

• Python for data processing, analytics, and AI workflows.
• SQL for querying and transforming large datasets.
• Experience with BI platforms, especially Power BI.
• Familiarity with modern data platforms such as Microsoft Azure and Snowflake.
• Programming knowledge in languages like C#, Java, or Scala.
• Understanding of software engineering fundamentals, version control, and testing.