[Remote] Sr. Data Engineer I

Note: The job is a remote job and is open to candidates in USA. iHerb 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.ResponsibilitiesDesigns and builds scalable data extracts, integrations, transformations, and data modelsEnsures successful deployment and provisioning of data solutions across required environmentsDesigns and implements data architectures and applications that enable speed, quality, and operational efficiencyInteracts with cross-functional stakeholders to gather and define requirements and translate them into technical designsDevelops deep familiarity with enterprise datasets, builds domain knowledge, and advances data qualityReviews requirements, identifies gaps, and drives resolution with stakeholdersIdentifies and recommends continuous improvement opportunities, ensuring integrations are automated, governed, and observableServes as a key team member in designing and deploying a ground-up cloud data platform and pipelinePartners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoringImplements 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 alertingDesigns scalable data pipelines optimized for ML workloads, such as batch, streaming, and real-time inference use casesEstablishes MLOps standards, coding practices, and automation patterns that scale across teamsSkillsBachelor or Master`s degree in technical discipline such as Computer Science, Information Systems or another technical fieldPeople person, team player with a strong can-do mentality5+ years of experience as a Data Engineer within a data and analytics environmentStrong interpersonal skills with a collaborative, proactive, and solution-driven mindsetProficiency in data modeling concepts and techniquesExpertise with Databricks and other cloud data warehousing solutions such as S3, Redshift, or BigQueryHands-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 optimizationAbility to write, test, and debug RESTful APIsExperience working in agile, cross-functional environmentsStrong analytical, problem-solving, and critical-thinking capabilitiesAbility to guide junior engineers and contribute to technical design reviewsStrong communication skills with the ability to present complex concepts clearlyExperience in data quality initiatives such as Master Data Management (MDM)Experience operationalizing machine-learning models in production environmentsHands-on experience with ML tooling such as MLflow, SageMaker, Databricks ML, Kubeflow, or similarExperience implementing CI/CD pipelines for data and ML workloads, including automated testing, deployment pipelines, and environment configurationUnderstanding of model lifecycle management, data versioning, feature store design, and model monitoring conceptsExperience containerizing ML workloads using Docker and deploying them via cloud-native services or orchestratorsFamiliarity with monitoring frameworks, experiment tracking, and performance observability for ML modelsDevOps experience with CICD & unit/integration testing, Docker containerization, workflow orchestrationHighly Desired AWS certifications (any)Databricks certifications – Associate/ProfessionalAWS Certified Solutions Architect – Associate/ProfessionalAWS Certified Developer – Associate/ProfessionalAWS Certified DevOps EngineerAWS Certified Solutions ArchitectAWS Certified Data AnalyticsAWS Certified Security - SpecialtyAWS Certified Cloud PractitionerBenefitsMedicalDentalVisionBasic life insurance401(k) planTime OffPaid Sick LeavePaid holidaysRestrict Stock UnitsAnnual bonusesCompany OverviewiHerb is on a mission to make health and wellness accessible to all. It was founded in 1996, and is headquartered in Irvine, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.iherb.com.Company H1B SponsorshipiHerb has a track record of offering H1B sponsorships, with 1 in 2026, 4 in 2025, 2 in 2024, 2 in 2023, 6 in 2022, 2 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.