
Your trusted source for health and wellness products
iHerb is a leading online retailer of health and wellness products, offering over 30,000 top-rated items including vitamins, supplements, and organic foods. Headquartered in Pasadena, California, iHerb serves millions of customers worldwide and is known for its competitive pricing and customer loyal...
iHerb offers competitive salaries, stock options, flexible work hours, and generous PTO policies. Employees also benefit from discounts on products an...
iHerb fosters a customer-centric culture, emphasizing quality and value in health products. The company promotes a healthy work-life balance and encou...

iHerb • United States of America - Remote / Home Office
iHerb is seeking a Senior Data Engineer to evolve and scale their modern data ecosystem. You'll work with AWS, Apache Spark, and Airflow to support AI/ML initiatives. This role requires strong experience in data engineering and cloud-native solutions.
You have 5+ years of experience in data engineering, with a strong focus on building scalable data solutions. Your expertise includes designing and implementing data architectures that enhance operational efficiency and data quality. You are familiar with cloud-native engineering practices and have a solid understanding of MLOps capabilities to support production-grade AI/ML initiatives. You thrive in collaborative environments, working closely with data scientists and analytics engineers to deliver high-quality data solutions. Your ability to gather and define requirements from cross-functional stakeholders allows you to translate business needs into technical designs effectively. You are proactive in identifying continuous improvement opportunities and ensuring that data integrations are automated and observable.
Experience with machine learning frameworks and tools is a plus, as is familiarity with data lakes and data warehouses. You may also have knowledge of specific cloud platforms beyond AWS, which can enhance your contributions to the team.
In this role, you will design and build scalable data extracts, integrations, and transformations that meet the evolving needs of the organization. You will ensure the successful deployment and provisioning of data solutions across various environments, contributing to the overall data-driven culture at iHerb. Your responsibilities will include developing deep familiarity with enterprise datasets and advancing data quality through rigorous testing and validation processes. You will collaborate with data scientists to design, build, and maintain reproducible machine-learning pipelines, focusing on feature engineering and model training. Additionally, you will serve as a key team member in designing and deploying a cloud data platform and pipeline from the ground up, ensuring that all solutions are efficient, reliable, and aligned with business objectives.
iHerb provides a supportive work environment that values innovation and collaboration. You will have the opportunity to work remotely, allowing for flexibility in your work-life balance. The company is committed to fostering a diverse and inclusive workplace, encouraging you to apply even if your experience doesn't match every requirement. iHerb offers competitive compensation and benefits, ensuring that you are rewarded for your contributions to the team and the organization as a whole.
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