Data Engineer

The Juice Plus Company is a multi-million dollar competitor in the health and wellness industry, utilizing a unique combination of direct sales and e-commerce to market our carefully curated line of plant-based nutritional products, in pursuit of our mission to "Inspire Healthy Living Around the World."

Juice Plus+ is building a modern data foundation to power decision-making across Partner engagement, customer experience, fulfillment, and financial operations . As we scale globally across systems like Shopify Plus, Exigo, NetSuite, HighJump, DHL, and a custom subscription platform , we're looking for a hands-on Data Engineer who thrives on solving complex data problems and building scalable pipelines that deliver trusted data.

Applicants must provide a cover letter to be considered.

Cover letters must include :

• Basics of a professional cover letter : introduction, why you are interested in this role, your relevant background, and why you are a good fit for Juice Plus+.
• Responses to the following prompts :
• A time you solved a difficult problem by approaching it differently than others.
• How you ensure your work supports the bigger picture and helps others succeed.
• What motivates you most in a data engineering role.
• How you keep stakeholders informed when unexpected issues arise.
• An example of jumping into a project midstream and quickly contributing.

Responsibilities

Design, develop, and maintain ETL / ELT workflows across

Snowflake, SQL Server, ADF, and Microsoft Fabric ; integrate APIs, JSON / XML, and streaming systems like Event Hubs

Apply query tuning techniques (indexing, partitioning, caching), enforce data quality and validation processes, and eliminate bottlenecks before they affect business users.

Develop data models, warehouses, and integration frameworks that support enterprise reporting, analytics, and

Power BI Semantic Models

Implement monitoring, alerting, logging, and governance best practices covering security, compliance, auditability, and data stewardship.

Apply critical thinking and non-traditional approaches to improve efficiency, automate manual tasks, and challenge conventional solutions where appropriate.

Use

Git / version control to ensure transparent development practices, act as a bridge between engineering and analytics teams, and partner with governance to advance cataloging, lineage, and trust in enterprise data.

Take ownership of assigned tasks and drive progress with minimal oversight, collaborating closely with

Data Modeling Engineers, Analysts, and IT teams to ensure solutions align with business objectives.

Skills & Experience

Preferred Qualifications

Disclaimer

This job description is only a summary of the typical functions of the job, not a comprehensive list of all possible job responsibilities, tasks and duties.