Iherb
Sr. Data Engineer I
Home Office, CA · Senior
Sponsorship not specified$116k-$170kDetected 11 days ago
PythonSQLRedshiftDatabricksAWSDockerCI/CDDevOpsRESTMachine LearningData AnalysisData EngineeringMLOpsAI OrchestrationLogisticsVendor ManagementTest AutomationCommunicationProblem Solving
About the role
- As a team member, we'll empower you to live this promise each day as you make a truly global impact in your career.
- Whether you work in one of our logistics centers, technology hubs, corporate offices or even from home, your role at iHerb will take you beyond what's expected, turning challenge into change.
- If you're ready for it, we want you to join our team.
Responsibilities
- Designs and builds scalable data extracts, integrations, transformations, and data models.
- Designs and implements data architectures and applications that enable speed, quality, and operational efficiency.
- Interacts with cross-functional stakeholders to gather and define requirements and translate them into technical designs.
- Develops deep familiarity with enterprise datasets, builds domain knowledge, and advances data quality.
- Reviews requirements, identifies gaps, and drives resolution with stakeholders.
- Implements CI/CD for data and ML workflows (model packaging, automated testing, environment management, release automation).
- Builds and maintains production-grade ML infrastructure such as feature stores, model registries, data versioning, and experiment tracking frameworks (e.g., MLflow).
- Designs scalable data pipelines optimized for ML workloads, such as batch, streaming, and real-time inference use cases.
Requirements
- Bachelor or Master`s degree in technical discipline such as Computer Science, Information Systems or another technical field
- 5+ years of experience as a Data Engineer within a data and analytics environment.
- Proficiency in data modeling concepts and techniques.
- Expertise with Databricks and other cloud data warehousing solutions such as S3, Redshift, or BigQuery.
- Advanced knowledge of Python and advanced working SQL skills including query optimization.
- Ability to write, test, and debug RESTful APIs.
- Experience working in agile, cross-functional environments.
- Strong communication skills with the ability to present complex concepts clearly.
- Experience in data quality initiatives such as Master Data Management (MDM).
- Hands-on experience with ML tooling such as MLflow, SageMaker, Databricks ML, Kubeflow, or similar.
- People person, team player with a strong can-do mentality
- Strong interpersonal skills with a collaborative, proactive, and solution-driven mindset.
- Hands-on experience building data pipelines and ETL/ELT workflows using PySpark for semi-structured data (merge, delete, combine, wrangling).
- Strong analytical, problem-solving, and critical-thinking capabilities.
- Ability to guide junior engineers and contribute to technical design reviews.
Compensation
- The expected salary range for this role is $116,000.00 - $170,000.00 USD.
- The actual base pay offered will be determined by factors such as the candidate's relevant experience, education, geographic location, and internal equity.
Benefits
- Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring.
- Experience operationalizing machine-learning models in production environments.
Company info
- For A Better You
- At iHerb, we believe that living a healthy and balanced life should be easy and accessible to everyone.
- We constantly strive for innovation, while transforming and improving the online shopping experience for our customers.
- We believe that individually we are incredible, but when we come together, our growth is infinite.
- In an industry that is constantly evolving, we are on a mission to make an impact on the global market, and the individual and collaborative efforts of our people are paramount to helping us succeed.
- Get started now.
Equal opportunity
- iHerb is an Equal Opportunity employer.
This listing is sourced directly from Iherb's careers page and normalized into a canonical job model.