Principal Cloud Data Engineer

🔥 16 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $179.7k - $287.5k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Teradyne

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1960

🏭 Manufacturing

🔧 Hardware

🤝 B2B

Manufacturing • Hardware • B2B

Teradyne is a provider of test and manufacturing automation solutions. Its companies deliver manufacturing automation and automated test equipment across industries and applications, helping customers achieve higher production volumes, improved quality and greater ROI. Teradyne has expanded through acquisitions of specialists such as LitePoint (wireless test), Universal Robots (collaborative robots) and MiR (mobile robots), giving it a portfolio that spans semiconductor and electronics test, industrial robotics, and factory automation.

📋 Description

• Engineer end-to-end data solutions that drive AI insights and implementations • Translate product requirements into scalable, production-grade data pipelines and data products • Build ingestion, transformation, and serving layers for enterprise AI platforms • Develop embedding, vector, and retrieval pipelines for RAG workflows, AI agents, and applications • Deliver curated datasets and semantic layers for analytics, copilots, and AI-driven decision support • Design, build, and optimize multicloud data solutions with Microsoft Azure as the primary platform • Apply consistent data engineering patterns across Azure, Google Cloud, and AWS • Use the Microsoft Fabric ecosystem and Snowflake to unify data engineering and analytics workloads • Design, develop, and maintain scalable ELT/ETL pipelines from APIs, databases, files, SaaS applications, and streaming sources • Implement lakehouse and medallion architectures; tune compute, storage, and access controls • Leverage Informatica and Fabric IQ for data catalogs, lineage, quality, profiling, cleansing, validation, and application integration • Advise on Semarchy master data management solutions • Apply access controls, data classification, and compliance safeguards • Build automated testing, monitoring, and observability for pipeline health, freshness, quality, and cost • Partner with Enterprise Architecture, product engineering, business, and operations teams on the AI data roadmap • Establish reusable data engineering patterns, frameworks, and standards • Mentor engineers on multicloud and AI-enablement practices • Evaluate emerging tools and technologies • Deliver scalable, trusted, governed, and AI-ready data products

🎯 Requirements

• 8–10 years of experience in data engineering • Last 2–3 years focused on modern cloud data engineering projects enabling AI products and analytics • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field • Strong proficiency in SQL and Python for data engineering and pipeline development • Multicloud data engineering experience with Microsoft Azure as primary • Strong, hands-on experience with the Microsoft Fabric ecosystem • Experience engineering AI-enabling data solutions, including RAG/embedding pipelines and semantic layers • Experience integrating with Azure AI Foundry, Google Vertex AI, and Snowflake Cortex AI • Strong proficiency in AI tooling such as Anthropic Claude or Microsoft Copilot suite • Hands-on experience with data governance, data quality, and application integration using tools such as Informatica • Experience with Semarchy or comparable master data management tools • Experience with lakehouse/medallion and dimensional data modeling • Experience with CI/CD for data using Azure DevOps or GitHub Actions • Experience with testing and observability • Proven ability to mentor and upskill teams • Strong collaboration and communication skills across technical, product, and business teams • Analytical mindset focused on measurable business and AI outcomes

🏖️ Benefits

• Discretionary bonus(es) based on financial performance • Medical insurance • Dental insurance • Vision insurance • Flexible Spending Accounts • Retirement savings plans • Life insurance • Disability insurance • Paid vacation • Paid holidays • Tuition assistance programs