Sr. Data Engineer I

Описание вакансии

Job Description

We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will contribute to the company’s data-driven culture, bring innovative approaches to cloud-native engineering, and help advance our MLOps capabilities to support production-grade AI/ML initiatives. You will collaborate closely with data scientists, analytics engineers, and cross-functional partners to deliver reliable, high-quality data and operationalized machine-learning solutions.

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.

Qualifications

• 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.

Highly Desired AWS certifications (any):

• DevOps experience with CICD & unit/integration testing, Docker containerization, workflow orchestration
• 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

#LI-JC1

The anticipated pay scale for this position can be found below, however the pay range applicable to you may vary by geographic location based on where the job is located or where you work.  The final pay offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and years of experience within the job, the type of years and experience within the industry, education, etc.  iHerb, LLC is a multi-state employer and this pay scale may not reflect positions that work in other states or locations.

Employees (and their families) that meet eligibility criteria as outlined in applicable plan documents are eligible to participate in our medical, dental, vision, and basic life insurance programs and may enroll in our company’s 401(k) plan. Employees will also be eligible for Time Off and Paid Sick Leave pursuant to the company’s policies. Employees will enjoy paid holidays throughout the calendar year.  Eligibility requirements for these benefits will be controlled by applicable plan documents.

Hired applicant may be awarded Restrict Stock Units and receive annual bonuses pursuant to eligibility and performance criteria defined in the respective plan documents and policies.

For more information on iHerb benefits, visit us at iHerbBenefits.com.

Anticipated Pay Scale:

$116,000—$170,000 USD

Staffing Agency Submission Notice

iHerb does not accept unsolicited 3rd party ("Agency") candidates. If you are an Agency, please send any requests to be considered as a supplier in our Vendor Management System to staffingvendors@iherb.com. Do not contact iHerb employees directly. If requested to work on a role, any Agency candidates would be presented through the internal recruiting organization.

About iHerbiHerb is on a mission to make health and wellness accessible to all. We offer Earth’s best-curated selection of health and wellness products, at the best possible value, delivered with the most convenient experience.

We’re the world’s largest eCommerce platform dedicated to vitamins, minerals, and supplements, and other health and wellness products. For more than 25 years, we’ve been making it simple for people all over the world to purchase the highest quality products. From supplements to skincare to grocery items, we ship over 50,000 products, from over 1,800 brands direct to our customers in 180+ countries.

Our vision is to become the #1 destination for health and wellness across the world.

With a passion for wellness and a mind for innovative solutions, iHerb team members share a vision for a healthier world that drives them each day. Our 5 Shared Values unite our global team:

Focus on the Customer · Empower Our People · Be Entrepreneurial & Pivot Quickly ·

Embrace Diversity & Inclusion · Strive for Simplicity

iHerb BenefitsAt iHerb, we are dedicated to offering programs designed to help our employees and their families stay healthy, live well, and plan for their financial future. Built on a strong foundation, our programs provide options and upgrades with flexibility, protection, and security in mind. For the comprehensive benefits list, visit www.iHerbBenefits.com. For our international team members, you may be eligible for benefits depending on the country where you are employed. The Talent Acquisition Partner/local HR representative will go over the benefits you are eligible for.

iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.