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.

Job Title:

Data Engineer-Wearables & iOT Analytics

Travel Required?:
Travel - up to 10% of time

Posting

Start Date:

9/30/26

Hybrid

Relocation Assistance Offered Within Country

Job Number#176270 - Topeka, Kansas, United States

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.

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.

• Automated Pipeline Development & Orchestration: Lead the design, build, and maintenance of scalable, automated data pipelines across cloud and enterprise platforms (Big Query, Snowflake, SAP) using Python and workflow orchestration tools to deliver clean, model-ready datasets.
• Cross-Functional Data Integration & Analytics Support: Partner with clinical, claims, and nutrition teams to integrate wearable sensor data with study datasets, harmonizing endpoints and logic to support claim substantiation and proof-of-concept analyses.
• Vendor & Infrastructure Technical Leadership: Serve as the primary technical contact for third‑party device manufacturers and data vendors, managing handoff specifications, SLAs, data quality standards, and cloud storage optimization.
• Unstructured & AI-Ready Data Management: Organize complex, unstructured time‑series and behavioral datasets into searchable, versioned structures, establishing data lineage, governance, and feature store assets for machine learning models.

• Bachelor's degree in Computer Science, Engineering, Statistics, or a related discipline.
• 4+ years of relevant work experience in data engineering, data science, or analytics, including hands‑on experience supporting research or clinical/claims studies or a related field.
• Demonstrated experience in data analysis, data cleansing, data integration and manipulation, building, operating, and…