Job Description

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

• Build and optimize data pipelines : 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 .
• Ensure performance and reliability : Apply query tuning techniques (indexing, partitioning, caching), enforce data quality and validation processes, and eliminate bottlenecks before they affect business users.
• Design scalable data structures : Develop data models, warehouses, and integration frameworks that support enterprise reporting, analytics, and Power BI Semantic Models .
• Promote automation and governance : Implement monitoring, alerting, logging, and governance best practices covering security, compliance, auditability, and data stewardship.
• Drive innovation and problem solving : Apply critical thinking and non-traditional approaches to improve efficiency, automate manual tasks, and challenge conventional solutions where appropriate.
• Enable collaboration and accessibility : 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.
• Deliver with accountability : 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

• Strong SQL skills and hands-on experience with a cloud data warehouse (Snowflake preferred) .
• Experience building and optimizing ETL/ELT pipelines ( ADF, Fabric, SSIS, or similar ).
• Familiarity with APIs, JSON/XML, and event-driven systems .
• Experience with Git/version control and collaborative development.
• Background in data modeling to support analytics and reporting.

Preferred Qualifications

• Located in or near the Memphis/Collierville, TN area .
• Experience with Power BI Semantic Models and self-service BI.
• Familiarity with DataOps practices such as CI/CD for pipelines and automated testing.
• Knowledge of data governance frameworks (cataloging, lineage, stewardship).
• Exposure to eCommerce, subscription, or fulfillment systems (Shopify, Exigo, NetSuite, etc.).

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.

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