Hybrid: Wearables & IoT Analytics Data Engineer

Colgate; Topeka (KS); Hybrid; USD 115,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Colgate-Palmolive is seeking a Data Engineer in Topeka to advance wearables and IoT analytics. You will own end-to-end data pipelines, transforming wearable sensor data into trusted datasets for AI-ready modeling in collaboration with cross-functional teams.

The role emphasizes cloud-based data engineering, time-series data handling, and governance with a focus on scalable analytics within a hybrid work environment.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Statistics, or related field.
• 4+ years of experience in data engineering, data science, or analytics.
• Experience building and troubleshooting data pipelines in cloud environments using SQL and Python or R.
• Experience with time-series or sensor data and multi-source study data.

Responsibilities

• Design, build, and maintain scalable data pipelines across cloud platforms (BigQuery, Snowflake, SAP).
• Collaborate with cross-functional teams to integrate wearable sensor data with study datasets.
• Lead vendor discussions, data quality, SLAs, and cloud storage optimization.
• Organize unstructured time-series data into versioned data assets for ML use.

Skills

SQL

Python

R

Time-series data

Sensor data

Data pipelines

Education

Bachelor's degree (CS/Engineering/Statistics)

Tools

BigQuery

Snowflake

SAP

Airflow

Cloud Composer

dbt

Git

GCP

Job description

Colgate-Palmolive is seeking a Data Engineer in Topeka to advance wearables and IoT analytics. You will own end-to-end data pipelines, transforming wearable sensor data into trusted datasets for AI-ready modeling in collaboration with cross-functional teams.

The role emphasizes cloud-based data engineering, time-series data handling, and governance with a focus on scalable analytics within a hybrid work environment.