Data Engineer-Wearables & iOT Analytics

A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet® and Science Diet®. Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food.

Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods.

We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life.

A career at Hill's Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness.

Information at a Glance

Data Engineer-Wearables & iOT Analytics

Travel - up to 10% of time

9/30/26

Hybrid

Relocation Assistance Offered Within Country Job Number #176270 - Topeka, Kansas, United States Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.

Role Summary: The Data Engineer, Wearables  within the Data Science and Engineering team  serves as a key technical professional  advancing companion animal sensor analytics and data innovation capabilities. Sitting within the Data Science and Engineering team, this role owns the end-to-end data pipeline, transforming multi-platform wearable sensor data and unstructured behavioral assets into trusted, AI-ready datasets. By collaborating with cross-functional research teams and external vendors, this position enables advanced analytics, data science modeling, and data-driven product decision-making across the organization.   Responsibilities:

Automated Pipeline Development & Orchestration: Lead the design, build, and maintenance of scalable, automated data pipelines across cloud and enterprise platforms (BigQuery, Snowflake,