Data Engineer, Global IT Business Intelligence

The Juice Plus Company is a multimillion-dollar competitor in the health and wellness

industry, using a unique combination of direct sales and e-commerce to market our

plant-based nutritional products in pursuit of our mission to “Inspire Healthy Living

Around the World.”

Overview

The position of Data Engineer, Global IT Business Intelligence will play a key role in

developing and optimizing data pipelines, integrations, and scalable architectures to

support analytics and business intelligence needs. This role requires a strong foundation

in data engineering, best practices, performance optimization and automation, to

ensure seamless data processing and accessibility.

The candidate in this role will excel in problem-solving, critical thinking, and attention to

detail, bringing innovative solutions to complex data challenges. They will work on

enhancing data infrastructure, optimizing workflows, and ensuring data quality and

governance while collaborating with cross-functional teams to meet business

objectives.

This position demands a proactive, solutions-oriented approach, balancing technical

expertise with a commitment to building reliable and efficient data systems.

Responsibilities

• Develop and optimize data pipelines, ETL/ELT workflows, and data

transformations.

• Handle complex data integration challenges, crafting solutions that balance

performance, scalability, and flexibility.

• Take ownership of coding and implementation, ensuring projects are executed

efficiently and effectively.

• Develop and enforce data quality measures to maintain high levels of integrity

and consistency.

• Apply critical thinking and non-traditional approaches to improve efficiency and

solve data problems in innovative ways.

• Challenge conventional solutions when needed, focusing on customized,

efficient, and future-proof designs.

• Build data solutions that align with business needs, scalability, and long-term

growth.

• Ensure query performance tuning, indexing, partitioning, and caching strategies

are implemented for optimized processing.

• Identify and eliminate performance bottlenecks before they impact business

users.

• Design and maintain data models, warehouses, and integration frameworks that

support rapid analytics.

• Develop automated monitoring, alerting, and logging to reduce manual

oversight.

• Implement governance best practices, ensuring security, compliance, and

auditability.

• Establish and document best practices, workflows, and troubleshooting guides.

• Act as a bridge between engineering and analytics, ensuring data is structured

and accessible for end-users.

• Work alongside Data Modeling Engineers, Analysts, and IT teams to align

technical solutions with business objectives.

• Take ownership of assigned tasks and ensure projects move forward without

direct oversight.

Qualifications & Experience

• 3-7 years, hands-on experience in data engineering, data pipeline development,

or database architecture.

• Expert-level SQL skills (Snowflake, SQL Server, PostgreSQL, etc.), with experience

in performance tuning.

• Educated to degree level or similar in Computer Science

• Strong experience in ETL/ELT development (Azure Data Factory, dbt, Apache

Airflow, SSIS, etc.).

• Experience working with large-scale data processing, transformation, and

storage solutions.

• Ability to write clean, efficient, and scalable code for data movement and

transformation.

• Problem-solving mindset, able to adapt and find unconventional solutions when

needed.

• Meticulous attention to detail, ensuring accuracy, reliability, and performance.

• Self-starter, capable of owning tasks and executing solutions without constant

oversight.

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.

Diversity, Equity & Inclusion are fundamental to our success. We are an Equal Opportunity

Employer with people of different strengths, experience and background who are respected and

celebrated for their race, color, national origin, gender, sexual orientation, age, religion, veteran

status, disability, history of disability or perceived disability. We work in an environment where all

our employees’ points of view are valued, and inclusion is everyone's responsibility.