Data engineer

Role Description

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.

POSITION 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.

EDUCATION AND EXPERIENCE

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.

TECHNICAL SKILLS REQUIREMENTS

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

The US base salary range for this full-time position is $89,000-$128,000. Our salary ranges are

determined by role, level, and location. The range displayed on each job posting reflects the base pay target range

for new hire salaries for the position. Within the range, individual pay is determined by work location and additional

factors, including job-related skills, experience, and relevant education or training.

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.

Visit

zoetisbenefits.com

to learn more. Full time Regular Colleague

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at [email protected] to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.