Senior Data Engineer — Cloud Data Platform & MLOps

iHerb; California; Hybrid; USD 116,000 - 170,000; Full time

Job summary

iHerb seeks a Senior Data Engineer to evolve and scale its modern data ecosystem, including data lake, data warehouse, and ML enablement platforms. You will collaborate with data scientists and analytics engineers to deliver reliable data and ML solutions in production.

The role spans data architecture, CI/CD for data/ML workflows, and building scalable pipelines for batch, streaming, and real-time inference. Remote-friendly with global impact.

Qualifications

• 5+ years of experience as a Data Engineer in a data/analytics environment.
• Strong interpersonal, collaborative, and solution-driven mindset.
• Proficiency in data modeling concepts and techniques.
• Hands-on experience with PySpark for semi-structured data.
• Advanced knowledge of Python and SQL; ability to optimize queries.
• Experience deploying ML workflows and data pipelines in production.

Responsibilities

• Designs and builds scalable data extracts, integrations, transformations, and data models.
• Deploys data solutions across required environments with governance and observability.
• Partners with data scientists to build and maintain reproducible ML pipelines.

Skills

5+ years experience

Collaborative mindset

Analytical thinking

Education

Bachelor or Master’s in CS/IS or related

Tools

Databricks

S3

Redshift

BigQuery

PySpark

Python

SQL

RESTful APIs

MLflow

SageMaker

Kubeflow

Docker

CI/CD

Job description

iHerb seeks a Senior Data Engineer to evolve and scale its modern data ecosystem, including data lake, data warehouse, and ML enablement platforms. You will collaborate with data scientists and analytics engineers to deliver reliable data and ML solutions in production.

The role spans data architecture, CI/CD for data/ML workflows, and building scalable pipelines for batch, streaming, and real-time inference. Remote-friendly with global impact.