Senior Cloud Data Engineer (Teradyne, Costa Rica)

We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world!

We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive.

Our Purpose

At Teradyne, we bring together experience and innovation to drive excellence in every connection. We value diversity of thought and create an environment where all employees feel included, supported, and encouraged to contribute. We believe different perspectives strengthen our teams, enhance decision-making, and enable better outcomes.

Opportunity Overview

As a Senior Cloud Data Engineer at Teradyne, you will engineer the data solutions that power our enterprise AI implementations. Reporting to the Enterprise AI/Data Product Manager, your primary mission is to design, build, and operate the pipelines, models, and integration frameworks that turn Teradyne’s operational and product data into trusted, governed, and AI-ready data products—the foundation on which our AI solutions are built and scaled.

This is a deeply technical, delivery-focused role centered on enabling AI outcomes. You will build multi-cloud data solutions with Microsoft Azure as our primary platform. You will engineer the ingestion, transformation, and serving layers that ground our AI platforms—including Azure AI Foundry, Microsoft Copilot Studio, Google Vertex AI, and Snowflake Cortex AI—in high-quality proprietary data, while leveraging Informatica for data governance, data quality, and application integration, and Semarchy for master data management. Your work directly enables business, operations, and product engineering teams to unlock insights through modern AI tooling.

Key Responsibilities

Engineering Data Solutions for AI Products

• Design scalable, AI-ready data solutions that support enterprise insights and data products.
• Build trusted data layers for AI platforms such as Azure AI Foundry, Copilot Studio, Vertex AI, and Snowflake Cortex AI.
• Develop embedding, vector, and retrieval pipelines for RAG workflows and AI applications.
• Deliver curated datasets and semantic layers for analytics, copilots, and AI-driven decisions.

Multicloud Data Platform & Pipeline Engineering

• Design and optimize multicloud data solutions across Azure, Google Cloud, and AWS.
• Use Microsoft Fabric and Snowflake to unify data engineering and analytics workloads.
• Build scalable ELT/ETL pipelines from APIs, databases, files, SaaS apps, and streaming sources.
• Implement lakehouse and medallion architectures while balancing performance, security, and cost.

Data Governance, Quality & Master Data Management

• Support cataloging, lineage, quality, integration, profiling, cleansing, and validation across the data estate.
• Advise on master data management solutions using Semarchy.
• Apply secure access controls, data classification, and compliance safeguards.
• Build automated testing, monitoring, and observability for pipeline health and data quality.

Collaboration & Technical Leadership

• Partner with architecture, product, business, and operations teams to deliver the AI data roadmap.
• Define reusable data engineering standards and mentor engineers on AI-enablement practices.
• Evaluate emerging tools to keep the data platform modern and scalable.

All About You

We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position.

Minimum Qualifications

• Bachelor’s degree in computer science, Information Systems, Engineering, or a related field.
• English Proficiency
• 8 years of experience in:
• Data Engineer focused on modern cloud data engineering projects that enable AI products and insights through AI tooling (e.g., RAG/embedding pipelines, semantic layers) and integration with platforms such as Azure AI Foundry, Google Vertex AI, and Snowflake Cortex AI.
• SQL and Python
• AI tooling such as Anthropic Claude or Microsoft CoPilot suite.
• Data Management Platforms
• Experience with Lakehouse/Medallion and dimensional data modeling, plus CI/CD for data (Azure DevOps or GitHub Actions), testing, and observability.
  

The ideal candidate will have the following behavioral traits

• Proven ability to mentor and upskill teams, fostering a culture of innovation and learning.
• Strong collaboration and communication skills, with the ability to work across technical, product, and business teams.
• Analytical mindset with a focus on delivering measurable business and AI outcomes.
• This position is not eligible for visa sponsorship or Relocation assistance.

Benefits

Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, life and health insurance, paid vacation & holidays, tuition assistance programs, and more.