Job description
About LeafLink
LeafLink is the largest unified B2B cannabis platform, providing licensed cannabis businesses a suite of tools to manage their business more effectively, sell or order from their favorite brands and accelerate growth. We are one platform, one solution and we’re defining the way thousands of cannabis brands, distributors, and retailers streamline their operations. With thousands of brands and retailers across 30+ markets in North America, we are setting the industry standard for how cannabis businesses grow together. LeafLink processes more than $5 billion in wholesale cannabis orders annually.
Our team, backed by funding from leading VC's, including Founders Fund, Thrive Capital, Nosara Capital, and Lerer Hippeau is poised to define the cannabis supply chain through technology. LeafLink was named one of Inc. 5000’s ‘Top 5000 Fastest-Growing Private Companies’; one of Fast Company's 'Top 10 Most Innovative Companies in Enterprise for 2020', joining the ranks of Amazon, Slack, and VMWare; one of Built In NYC's 'Best Places to Work in 2021'; 2024 Fast Company’s Best WorkPlaces for Innovators for Banking, Finance, and Fintech category; 2024 Green Market Report Award for Best Fintech in cannabis - and we're just getting started!
The Role
LeafLink is seeking a Staff Data Engineer to help lead the evolution of our data platform and analytics infrastructure. This role will design and scale systems that power analytics, reporting, and operational insights across the organization.
Staff Data Engineers influence how data is modeled, moved, and consumed across the company. This role partners with engineering, finance, product, and operations teams to ensure the data platform remains reliable, scalable, and capable of supporting critical decision-making.
What You’ll Be Doing
Design and lead development of scalable data pipelines using Airflow, dbt, and Python.
Guide architecture and evolution of the company data platform.
Build integrations across modern data stack tools including Fivetran, Redshift, and Sigma.
Develop serverless data services using AWS services such as Lambda.
Partner with stakeholders to define reliable data models and analytics datasets.
Improve pipeline reliability through testing, monitoring, and observability.
"mention the word grass in your application"
Modernize legacy data processes and improve automation across the platform.
Mentor engineers and analysts on data modeling and platform best practices.
Drive improvements in data governance and documentation.
What You’ll Bring to the Team
8+ years of experience building production data pipelines and analytics infrastructure.
Strong SQL skills and experience modeling large datasets.
Strong Python experience for building pipelines and automation.
Experience with Airflow, dbt, or similar orchestration and transformation tools.
Experience with modern data stack tools such as Fivetran, Redshift, or Sigma.
Experience with AWS and serverless data processing such as Lambda.
Strong understanding of data warehouse architecture and analytics engineering
Demonstrated ability to lead technical initiatives across teams.
LeafLink Perks & Benefits
Flexible PTO - you’re going to be working hard so enjoy time off with no cap!
A robust stock option plan to give our employees a direct stake in LeafLink’s success
5 Days of Volunteer Time Off (VTO) - giving back is important to us and we want our employees to prioritize cultivating a better community
Competitive compensation and 401k
Comprehensive healthcoverage (medical, dental, vision)
Commuter Benefits through our Flexible Spending Account
LeafLink’s employee-centric culture has earned us a coveted spot on BuiltInNYC’s Best Places to Work for in 2021 list. Learn more about LeafLink’s history and the path to our First Billion in Wholesale Cannabis Orders here.
Base salary range
$170,000—$230,000 USD
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.