Data Engineer-Wearables & iOT Analytics

Data Engineer-Wearables & iOT Analytics Job Details | Colgate-Palmolive Company

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Job Description

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

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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

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 Senior 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, 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.

Required Qualifications:

• 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 troubleshooting data pipelines and analytics workflows in cloud environments (preferably GCP) using SQL and Python or R.

• Experience in either of these" working with time-series or sensor data and/or complex, multi-source study data (e.g., clinical, claims, nutrition and other related data).

Preferred Qualifications:

• Master's degree or PhD in a quantitative or science-related field.

• 2+ years of experience leading data or analytics projects, including prioritization and cross-functional stakeholder management.

• Professional experience within animal health, human health, or related scientific domains including exposure to clinical, claims or behavioral studies.

• Technical proficiency with BigQuery, Snowflake, SAP, orchestration tools (Airflow, Cloud Composer, dbt), and version control (Git).

• Demonstrated interest and experience in new tools, technologies, and apps, particularly in data, AI/ML, and IoT contexts.

• Experience with BigQuery, Snowflake, SAP, and GCP data and analytics services.

• Experience with orchestration tools (e.g., Airflow, Cloud Composer, dbt) and version control (e.g., Git).

• Strong communication skills with a proven ability to translate complex data engineering concepts for non-technical partners.

• Creative, collaborative thinker with the ability to rapidly learn new concepts, assess complex data problems, and identify proactive, pragmatic solutions.

• Demonstrated leadership skills in working with cross-functional teams and external partners.

• Able to work independently with minimal supervision, while effectively managing multiple concurrent projects.

Compensation and Benefits

Salary Range $115,000.00 - $130,000.00 USD

Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.

Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.

Our Commitment to Inclusion

Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.

Equal Opportunity Employer

Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.

Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

For additional Colgate terms and conditions, please click here.

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