Senior Cloud Data Engineer for AI Data Platforms

Teradyne

North Reading (MA)

Hybrid

USD 180,000 - 288,000

Full time

14 days+

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

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

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

Get your free, confidential resume review.

or drag and drop your file here.