Data Engineer

At Curaleaf, we’re redefining the cannabis industry with a strong commitment to quality, expertise, and innovation. As a leading global cannabis provider, our brands—including Curaleaf, Select, and Grassroots—offer premium products and services in both medical and adult-use markets.

Join us at Curaleaf to be part of a high-growth, purpose-driven company that champions corporate social responsibility through our Rooted in Good initiative, supporting community outreach and positive change. Here, you’ll have the opportunity to make a meaningful impact, drive innovation, and help shape the future of cannabis.

Title: Analytics Engineer

Location: Stamford, CT

Job Type: Full Time | Exempt

Who You Are:

As an Analytics Engineer at Curaleaf, you’ll play a vital role in shaping how we use data to drive smarter decisions across the business. You’ll be part of a collaborative, innovative Data Team that’s focused on building scalable solutions in a fast-paced, constantly evolving environment.

What You’ll Do:

• You’ll build and maintain scalable data pipelines using tools like dbt, SQL, and Python to ingest, clean, and organize data from various sources, creating trusted datasets for reporting and analysis.
• You’ll drive the development of our analytics platforms, setting standards and ensuring data is accessible and reliable for leadership, analysts, and business teams.
• Collaborating with data engineers, BI developers, and stakeholders, you’ll turn business needs into optimized data solutions.
• You’ll improve data quality through better collection, documentation, and validation practices, while using Git and CI/CD for version control and reproducibility.
• You’ll focus on optimizing query performance and data transformations to enhance speed and cost-efficiency, all while staying current on trends in analytics and modern data stack technologies.

What You’ll Bring:

• 1–5 years of experience in a data analytics or data engineering role, with a strong understanding of data workflows and best practices.
• 1–2 years of hands-on experience with dbt, SQLMesh, or similar SQL-first transformation frameworks.
• Proficiency in writing SQL, Python, R, or other languages commonly used for data analysis and engineering (2–4 years preferred).
• A bachelor’s or master’s degree in a related field—or equivalent practical experience in a similar role.
• Proficiency in SQL, dbt, Python, and/or R, with the ability to deliver solutions that balance best practices, scalability, and automation—while meeting data consumers where they are.
• Experience working with big data technologies and cloud platforms; familiarity with Snowflake is a plus.
• Comfortable with version control tools, especially Git.
• A collaborative mindset with strong problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders.

Even Better If:

• If you have experience in the cannabis space or in startup settings.
• Your team-oriented mindset and self-motivation drive results both collaboratively and independently.

Connecticut Hiring Range:

$63,000 - $70,000 USD

What We Offer:

• 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