Senior Cloud Data Engineer for AI Data Platforms

Teradyne

North Reading (MA)

Hybrid

USD 180,000 - 288,000

Full time

4 days ago
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Benefits offered by this job

Health benefits
Tuition assistance
Paid vacation & holidays
Retirement plans

Job summary

Teradyne is seeking a Senior Cloud Data Engineer to design, build, and operate AI-ready data pipelines powering enterprise AI initiatives. You will focus on multi-cloud data solutions with Azure as the primary platform, integrating data governance tools and master data management to deliver scalable data products.

You will enable AI workflows with embedding and retrieval pipelines, support RAG-based copilots, and collaborate across engineering and product teams to accelerate AI outcomes while

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • 10+ years of data engineering experience with cloud data projects enabling AI products.
  • Strong SQL and Python proficiency for data pipelines and analytics.

Responsibilities

  • Engineer end-to-end data solutions powering AI insights and implementations.
  • Build ingestion, transformation, and serving layers across Azure, Google Cloud, and Snowflake.
  • Develop embedding, vector, and retrieval pipelines for RAG workflows and AI agents.
  • Deliver curated, well-modeled datasets and semantic layers for analytics and copilots.
  • Mentor engineers and collaborate with product teams to shape the data roadmap for AI.

Skills

SQL
Python
Multicloud
Azure
Fabric

Education

Bachelors in CS/IS/Engineering

Tools

Informatica
Semarchy
Azure DevOps
Snowflake

Job description

Teradyne is seeking a Senior Cloud Data Engineer to design, build, and operate AI-ready data pipelines powering enterprise AI initiatives. You will focus on multi-cloud data solutions with Azure as the primary platform, integrating data governance tools and master data management to deliver scalable data products.

You will enable AI workflows with embedding and retrieval pipelines, support RAG-based copilots, and collaborate across engineering and product teams to accelerate AI outcomes while

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