Analytics Engineer

Curaleaf

Curaleaf, a leader in the global cannabis market, is dedicated to offering superior products and services. As part of their mission, they emphasize corporate social responsibility with the 'Rooted in Good' initiative. Join a high-growth environment where innovation and community outreach shape the future of cannabis.

In this role you can expect to have the responsibilities:

• Develop and maintain scalable data pipelines using tools such as dbt, SQL, and Python.
• Create and manage trusted datasets for reporting and analysis.
• Collaborate with data engineers, BI developers, and stakeholders to develop optimized data solutions.
• Enhance data quality through improved collection, documentation, and validation practices.
• Use version control and CI/CD methodologies for reproducibility.
• Optimize query performance and data transformation for speed and cost-efficiency.

This role comes with the following benefits:

• Career Growth Opportunities
• Competitive Pay and Benefits (Health, Dental Vision)
• Generous PTO and Parental Leave
• 401(K) Retirement Plan
• Life/AD&D Insurance, Short & Long-Term Disability
• Community Involvement Initiatives
• Employee Referral Bonuses and Product Discounts

This role requires you to have:

• 1–3 years of experience in data analytics or data engineering roles.
• 1–2 years of experience with dbt, SQLMesh, or similar frameworks.
• Proficiency in SQL, Python, R, or similar languages.
• Bachelor's or master's degree in a related field or equivalent practical experience.
• Experience with big data technologies and cloud platforms.

You would benefit from having:

• Experience in the cannabis industry or startup environments.
• Comfort with version control tools like Git.

Curaleaf is recognized as an equal opportunity employer and is committed to diversity and inclusion. They offer reasonable accommodation for individuals with disabilities and encourage applications from those impacted by the war on drugs.