Job Title: Jr. Data Engineer (Snowflake)
About Us:Bloom Cannabis is proud to be one of the largest family-owned cannabis companies in the nation. We take pride in offering safe, high-quality products that our customers trust. As we continue to expand into new states and gain industry recognition, we’re seeking passionate and experienced professionals to grow with us.
About the Role: We’re looking for an enthusiastic and detail-oriented Junior Data Engineer to join our growing data team. This is an excellent opportunity to build your skills working with Snowflake, SQL, and modern data pipelines. You’ll help support data workflows, maintain clean and reliable datasets, and work closely with engineering and business teams to make sure data is accurate, accessible, and useful. This is a local office position in Boca Raton, FL. No remote or hybrid options available.

QUALIFICATIONS:

• Basic understanding of SQL and relational databases.
• Familiarity with data warehousing concepts and ETL/ELT processes.
• Interest in learning Snowflake and cloud-based data engineering workflows.
• Ability to work with different teams and communicate technical concepts clearly.
• Strong attention to detail and problem-solving skills.

KEY RESPONSIBILITIES:

• Assist in writing and optimizing SQL queries for reporting and analytics in Snowflake.
• Help maintain and monitor ETL/ELT processes for bringing data into our warehouse.
• Support the creation of datasets and data models used in dashboards and reports.
• Work with developers to connect backend data to user-facing applications.
• Follow data quality, security, and governance best practices.
• Monitor data jobs, troubleshoot issues, and document processes.
• Learn and apply techniques for improving data warehouse performance.

Skills Growth Pathway: In this role, you’ll have the opportunity to develop and expand your skills through hands-on projects and mentorship. You can expect to grow in the following areas:

• Snowflake Expertise – From writing basic queries to building optimized, production-ready data pipelines.
• SQL Mastery – Learning advanced functions, performance tuning, and analytical techniques.
• ETL/ELT Development – Designing, scheduling, and troubleshooting robust workflows.
• Data Modeling – Creating scalable and efficient structures for analytics.
• Cloud Data Practices – Understanding cost optimization, scaling, and security in cloud-based environments.
• Collaboration Skills – Working with frontend developers, analysts, and business teams to deliver real-world solutions.
• Tool Familiarity – Gaining experience with reporting tools, scripting languages, and version control systems