AI Data Engineer

Zoetis • Parsippany-Troy Hills, NJ

1d • $89,000 - $128,000

About The Position

POSITION SUMMARY At Zoetis we are passionate about our customers and the animals in their care. We discover, develop and manufacture the world’s most innovative and effective products for animal health—medicines, vaccines, diagnostics, genetic tests, biodevices—and we are creating the next generation of integrated solutions and services to support this evolving industry. We know our people drive our success. Our colleagues are proud of our company culture and the meaningful role we play in caring for animals. The Zoetis Core Beliefs define the commitments we make to our colleagues, our customers, and our stakeholders every day. They have guided the creation of our award-winning workplace and our proud position as a leading partner of choice in animal health. Join our Data Analytics and Engineering (DAE) Group as an AI Data Engineer. This role is ideal for a passionate technologist eager to build modern data products and solutions powered by Databricks, Unity Catalog, Microsoft AI Foundry services such as Azure Open AI & AI search along with similar cutting-edge AI services from other providers. You’ll design, develop, deploy, maintain and most importantly support data & AI products to deliver meaningful robust, resilient data products for our clients. AI Data engineer will report to the Data Product Architect, Analytics and Operations Lead within the Digital, Data, and Analytics organization, and execute data engineering and AI use cases in support of the digital and analytics strategy of Zoetis.

Requirements

• Bachelor's or master's degree from an accredited college or university in Computer Science, Statistics, Mathematics, Information Technology, Operations Research, or related field.
• Minimum of five years of professional experience as a Data Engineer, with demonstrated knowledge of AI implementations.
• Azure Databricks: Expertise in designing, developing, and managing scalable data pipelines and analytics solutions using Azure Databricks. Proficiency in managing data governance, access controls, and cataloging within Databricks Unity Catalog.
• Azure Data Factory: Skilled in building, orchestrating, and monitoring data workflows and integrations with Azure Data Factory.
• AI Engineering LLMs, RAG, and Advanced Analytics: Hands-on experience implementing, integrating, and supporting Retrieval-Augmented Generation (RAG) based AI solutions, including expertise in prompt engineering techniques for large language models, natural language integration, using Microsoft AI Foundry services such as Azure OpenAI and Azure AI Search, as well as similar cutting‑edge AI services from other providers, including Databricks Genie and Agent Frameworks.
• Operational Support Experience: Strong experience providing operational support for enterprise data platforms and AI solutions, ensuring performance, reliability, and timely issue resolution. Exceptional problem-solving skills, with a track record of managing complex, cross-functional deliverables.
• Databricks Genie: Experience utilizing Databricks Genie for AI solutions in enterprise environments.
• SQL & Python Programming: Strong proficiency in SQL and Python for data engineering, analytics, and AI solution development.
• Analytical Skills: Demonstrated strong analytical abilities, with expertise in interpreting complex data and delivering actionable insights.
• Demonstrated ability to work effectively in cross-functional teams, fostering a collaborative and productive work environment.
• Foster a positive and collaborative work environment through attitude and actions.

Nice To Haves

• Commercial domain experience and strong familiarity with ERP systems—particularly Salesforce and SAP—is preferred.

Responsibilities

• Design, Develop, Deploy, and Support Data Pipelines: Build, and maintain robust data pipelines to ensure efficient data flow and transformation across the enterprise. Assemble large, complex data sets that fulfill functional and business requirements, ensuring the data architecture remains optimal and scalable.
• Ensure Operational Effectiveness & Support: Take ownership of performance, uptime, and release management for the enterprise data platform, ensuring high standards of reliability and efficiency.
• Build and Support AI Solutions: Design, develop, deploy, maintain, and support data-driven AI solutions that address business needs and drive innovation.
• Uphold Quality and Security Standards: Adhere to established data analytics quality and security standards for all data and AI solutions, ensuring compliance and best practices.

Benefits

• This position is also eligible for short-term incentive compensation
• This position is also eligible for long-term incentives
• In addition to compensation, Zoetis offers a comprehensive benefits package that supports the physical, emotional and financial wellbeing of our colleagues and their families including healthcare and insurance benefits beginning on day one, a 401K plan with a match and profit-sharing contribution from Zoetis, and 4 weeks of vacation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level