iHerb · 7 hours ago
Sr. Data Engineer I
United States
Full-time
Remote
Senior Level
$116K/yr - $184K/yr
5+ years expiHerb is on a mission to make health and wellness accessible to all, and they are seeking a Senior Data Engineer to help evolve and scale their modern data ecosystem. The role involves collaborating with data scientists and analytics engineers to deliver high-quality data and operationalized machine-learning solutions.
BeautyDelivery ServiceE-CommerceFood and BeverageHealth CareRetailSoftwareWellness
Responsibilities
Designs and builds scalable data extracts, integrations, transformations, and data models
Ensures successful deployment and provisioning of data solutions across required environments
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
Identifies and recommends continuous improvement opportunities, ensuring integrations are automated, governed, and observable
Serves as a key team member in designing and deploying a ground-up cloud data platform and pipeline
Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring
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)
Ensures ML models follow best-practice governance, including automated model performance monitoring, drift detection, logging, observability, and alerting
Designs scalable data pipelines optimized for ML workloads, such as batch, streaming, and real-time inference use cases
Establishes MLOps standards, coding practices, and automation patterns that scale across teams
Qualification
Required
Bachelor or Master`s degree in technical discipline such as Computer Science, Information Systems or another technical field
People person, team player with a strong can-do mentality
5+ years of experience as a Data Engineer within a data and analytics environment
Strong interpersonal skills with a collaborative, proactive, and solution-driven mindset
Proficiency in data modeling concepts and techniques
Expertise with Databricks and other cloud data warehousing solutions such as S3, Redshift, or BigQuery
Hands-on experience building data pipelines and ETL/ELT workflows using PySpark for semi-structured data (merge, delete, combine, wrangling)
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 analytical, problem-solving, and critical-thinking capabilities
Ability to guide junior engineers and contribute to technical design reviews
Strong communication skills with the ability to present complex concepts clearly
Experience in data quality initiatives such as Master Data Management (MDM)
Experience operationalizing machine-learning models in production environments
Hands-on experience with ML tooling such as MLflow, SageMaker, Databricks ML, Kubeflow, or similar
Experience implementing CI/CD pipelines for data and ML workloads, including automated testing, deployment pipelines, and environment configuration
Understanding of model lifecycle management, data versioning, feature store design, and model monitoring concepts
Experience containerizing ML workloads using Docker and deploying them via cloud-native services or orchestrators
Familiarity with monitoring frameworks, experiment tracking, and performance observability for ML models
DevOps experience with CICD & unit/integration testing, Docker containerization, workflow orchestration
Preferred
Highly Desired AWS certifications (any)
Databricks certifications – Associate/Professional
AWS Certified Solutions Architect – Associate/Professional
AWS Certified Developer – Associate/Professional
AWS Certified DevOps Engineer
AWS Certified Solutions Architect
AWS Certified Data Analytics
AWS Certified Security - Specialty
AWS Certified Cloud Practitioner
Benefits
Medical
Dental
Vision
Basic life insurance
401(k) plan
Time Off
Paid Sick Leave
Paid holidays
Restrict Stock Units
Annual bonuses
Company
iHerb
iHerb is on a mission to make health and wellness accessible to all.
1001-5000 employees
H1B Sponsorship
iHerb has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)
2023 (2)
2022 (6)
2021 (2)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
BT Bitarafan
CTO
Zach Thomann
Chief Operating Officer
Recent News
2026-01-11
2026-01-11
Venture Capital
2026-01-11
Company data provided by crunchbase