Data Engineer

THE TEAM:
Founded in 2018 and headquartered in Boca Raton, Florida, Jushi is a vertically integrated, multi-state cannabis company that develops and operates high-end retail locations, premium brands, state-of-the-art cultivation, processing, manufacturing facilities, along with a cutting-edge online platform that is setting a new standard for a sophisticated, data-driven, modern cannabis experience.

Since its founding in 2018, Jushi has grown from just a handful of people with an idea to more than 1500 employees strong. The Company has scaled its operations in seven states, including Pennsylvania, Virginia, Massachusetts, Illinois, California, Nevada, and Ohio, and has been named one of the top five cannabis companies to work for by Cannabis Business Times.

Jushi operates more than two dozen retail locations across the country under the retail brand, BEYOND / HELLO™ as well as under the recently acquired brands, Nature’s Remedy, and NuLeaf. The Company provides an unparalleled in-store experience, coupled with online reservations and in-store express pickup.

Each day, Jushi team members continue to grow, cultivate, process and manufacture a comprehensive suite of cannabis brands under the names: The Bank, The Lab, Tasteology, Nira + Medicinals and Sèche, which are addressing a wide variety of consumer and patient needs across multiple states.

THE OPPORTUNITY
The Data Engineer would be responsible for integrating new data sources with the Azure Fabric existing data Lakehouse. In addition, this individual would require a deep understanding of data architectures, data warehousing, databases, and analytics tools such as Power BI and Fabric.

Please note that to be considered for this role, candidates must be local to Boca Raton, Florida.

RESPONSIBILITIES:
• Integrate new data sources as per requirements
• Curate data sources using Python and / or SparkSQL and/ or T-SQL
• Proficient with data manipulation libraries such as PySpark, Pandas, Dask and Polars
• Develops Power BI dashboards/reports
• Proactively seek guidance and work with the technical leads to deliver solutions in a
timely manner and ability to foster open communication.
• Proficient in creating complex DAX calculations and measures to support data analysis.
• Familiar with the API management and methodology
• Able to ensure data security and compliance with the latest industry standards.
• Train and support to end users on using Power BI
• Familiarity with technical writing and documentation
• Familiarity with DevOps and GitHub
• Familiarity with agile project framework
• Proficient with Excel and other Microsoft products such as Power Automate

EDUCATION & EXPERIENCE:
• Bachelor’s Degree in Informational Technology, Computer Science or related field
experience required.
• Minimum five years reporting and / or data visualization and / or data analytics
experience
• Prior hands-on expertise with – SQL, Python, Power BI, Azure, Fabric
• Experience in the Cannabis and retail industry would be a plus
• Excellent organization, time management, and communication skills
• Strong quantitative and problem-solving skills

OTHER DUTIES
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Jushi is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

WHAT WE HAVE TO OFFER OUR EMPLOYEES AT JUSHI:
We offer benefit packages that may include: Medical, Dental, Vision, Life, Short, and Long-Term Disability, Flexible Spending Accounts, Paid Time Off, Paid Holidays, and 401(k).