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Data Engineer-Wearables & iOT Analytics

Colgate


Job Location:

Topeka, KS - USA

Yearly Salary: USD 115000 - 130000
Posted: 2 October 2026 (19 hours ago)
Application Deadline: 30 December 2026
Vacancies: 1 Vacancy

Job Summary

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 valuesCaring Inclusive and Courageouswe foster a culture that inspires our people to achieve common goals. Together lets 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 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:

  • Bachelors 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:

  • Masters 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 $115000.00 - $130000.00 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 employees 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 peopledeveloping 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.

#LI-Hybrid


Required Experience:

IC


About Company

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