Senior Data Engineer: ML Pipelines & Cloud Platform Lead

iHerb Inc.; California, Northern (MO, KY); Hybrid; USD 116,000 - 170,000; Full time

Job summary

iHerb Inc. seeks a Senior Data Engineer to evolve and scale its data ecosystem, including data lake and data warehouse, with ML enablement. You will partner with data scientists and analytics engineers to deliver reliable data and operationalize AI/ML initiatives.

The role emphasizes cloud-native engineering, MLOps standards, and production-grade ML infra. Collaboration across cross-functional teams is essential for success.

Qualifications

• Bachelor`s or Master`s degree in a technical field such as Computer Science, Information Systems, or similar.
• Proven ability to design and build scalable data solutions in a modern data stack.
• Strong collaborative and proactive problem-solving mindset.

Responsibilities

• Designs and builds scalable data extracts, integrations, transformations, and data models.
• Ensures deployment and provisioning of data solutions across environments.
• Partners with data scientists to build reproducible ML pipelines and oversee model deployment and monitoring.
• Implements CI/CD for data and ML workflows and maintains production ML infrastructure.
• Drives data quality, governance, and observability across the platform.

Skills

Databricks

PySpark

Python

SQL

Data Modeling

MLflow

RESTful APIs

CI/CD for data/ML

Cloud data warehousing

Agile collaboration

Education

Bachelor's or Master's in CS/IS

Tools

S3

Redshift

BigQuery

Databricks ML

Kubeflow

SageMaker

MLflow

Docker

Job description

iHerb Inc. seeks a Senior Data Engineer to evolve and scale its data ecosystem, including data lake and data warehouse, with ML enablement. You will partner with data scientists and analytics engineers to deliver reliable data and operationalize AI/ML initiatives.

The role emphasizes cloud-native engineering, MLOps standards, and production-grade ML infra. Collaboration across cross-functional teams is essential for success.