April 24, 2026
Sr. Data Engineer I
Senior • Remote
9,667 - 14,167 USD/yr
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
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Designs and builds scalable data extracts, integrations, transformations, and data models.
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Ensures successful deployment and provisioning of data solutions across required environments.
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Designs and implements data architectures and applications that enable speed, quality, and operational efficiency.
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Interacts with cross-functional stakeholders to gather and define requirements and translate them into technical designs.
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Develops deep familiarity with enterprise datasets, builds domain knowledge, and advances data quality.
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Reviews requirements, identifies gaps, and drives resolution with stakeholders.
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Identifies and recommends continuous improvement opportunities, ensuring integrations are automated, governed, and observable.
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Serves as a key team member in designing and deploying a ground-up cloud data platform and pipeline.
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Partners with data scientists to design, build, and maintain reproducible machine-learning pipelines, including feature engineering, model training, validation, deployment, and monitoring.
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Implements CI/CD for data and ML workflows (model packaging, automated testing, environment management, release automation).
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Builds and maintains production-grade ML infrastructure such as feature stores, model registries, data versioning, and experiment tracking frameworks (e.g., MLflow).
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Ensures ML models follow best-practice governance, including automated model performance monitoring, drift detection, logging, observability, and alerting.
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Designs scalable data pipelines optimized for ML workloads, such as batch, streaming, and real-time inference use cases.
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Establishes MLOps standards, coding practices, and automation patterns that scale across teams.
Qualifications
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Bachelor or Master`s degree in technical discipline such as Computer Science, Information Systems or another technical field
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People person, team player with a strong can-do mentality
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5+ years of experience as a Data Engineer within a data and analytics environment.
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Strong interpersonal skills with a collaborative, proactive, and solution-driven mindset.
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Proficiency in data modeling concepts and techniques.
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Expertise with Databricks and other cloud data warehousing solutions such as S3, Redshift, or BigQuery.
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Hands-on experience building data pipelines and ETL/ELT workflows using PySpark for semi-structured data (merge, delete, combine, wrangling).
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Advanced knowledge of Python and advanced working SQL skills including query optimization.
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Ability to write, test, and debug RESTful APIs.
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Experience working in agile, cross-functional environments.
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Strong analytical, problem-solving, and critical-thinking capabilities.
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Ability to guide junior engineers and contribute to technical design reviews.
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Strong communication skills with the ability to present complex concepts clearly.
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Experience in data quality initiatives such as Master Data Management (MDM).
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Experience operationalizing machine-learning models in production environments.
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Hands-on experience with ML tooling such as MLflow, SageMaker, Databricks ML, Kubeflow, or similar.
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Experience implementing CI/CD pipelines for data and ML workloads, including automated testing, deployment pipelines, and environment configuration.
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Understanding of model lifecycle management, data versioning, feature store design, and model monitoring concepts.
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Experience containerizing ML workloads using Docker and deploying them via cloud-native services or orchestrators.
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Familiarity with monitoring frameworks, experiment tracking, and performance observability for ML models.
Highly Desired AWS certifications (any):
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DevOps experience with CICD & unit/integration testing, Docker containerization, workflow orchestration
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Databricks certifications – Associate/Professional
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AWS Certified Solutions Architect – Associate/Professional
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AWS Certified Developer – Associate/Professional
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AWS Certified DevOps Engineer
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AWS Certified Solutions Architect
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AWS Certified Data Analytics
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AWS Certified Security - Specialty
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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.
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 iHerb
iHerb 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 Benefits
At 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.
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We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? We are looking for a Senior Business Intelligence and Analytics Engineer to help us in developing best in class data tools to deliver high quality tools and services and maintain our accelerated growth. These tools must be developed and maintained using best practices to ensure scalability and stakeholder trust as we grow in both size and scope. You will work cross functionally closely with both technical and business stakeholders across the company, as well as optimize our data stack for delivering trustworthy, discoverable, impactful data to fit their needs. What will you do? Act as a subject matter expert (SME) and deliver training to the cross functional teams to enable business users to make data-driven decisions. Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders Collaborate with the teams across the company to understand their use cases and deliver high value data tools Live and breathe SQL Ensure data quality and freshness at every step of the pipeline for data trust and consistency Create reverse ETL flows to make modeled data directly to stakeholders in the tools they use to foster fast and informed decision making Define and build robust DataOps pipelines and data expectations to ensure the effective delivery of data to all internal data services Explore, propose, and integrate new data sources and software solutions into the reporting environment Contribute to data-driven culture at BetterHelp by directly training stakeholders as well as creating resources such as documentation for empowering others to perform their own analyses Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. Partner with data and machine learning engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker What will you NOT do? You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel. Requirements BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering At least 4 years of experience in an analytics engineering, data engineering, data analytics, or a related field Advanced experience working with data pipeline tools, particularly in-warehouse transformation tools (preferably dbt) Advanced experience with SQL Experience querying and designing performant tables within OLAP data warehouses (e.g. Snowflake, BigQuery) At least 1 year experience working & developing with BI Tools (preferably Looker) Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault) Excellent communication (oral and written), attention to detail, time management and organizational skills Experience and comfort using the command line Experience using git for version control Bonus (Great to have, but not required) Familiarity with patterns for handling large-scale data transformations (e.g. dbt incremental models, horizontal/vertical scaling big data patterns) Experience working with Python-based workflow orchestration tools (e.g. Airflow) Experience working with Docker and container orchestration (e.g. Kubernetes, ECS) Experience with web-based B2C, marketplace products Familiarity with web event tracking tools like Snowplow Experience defining and building DataOps practices and deployment strategies Experience defining data governance procedures & working with data catalogs Benefits Remote work with regular in-person bonding experiences sponsored by the company Competitive compensation Holistic perks program (including free therapy, employee wellness, and more) Excellent health, dental, and vision coverage 401k benefits with employer matching contribution The chance to build something that changes lives – and that people love Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $100,000 - $155,000 In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions. At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.