Staff Data Engineer

LeafLink

💼 Full-time🗓 2026-09-30

Core

Design and scale data pipelines and analytics infrastructure to power organizational reporting and decision-making.

Role type

Staff Data Engineer (infrastructure & platform)

Builds

Scalable data pipelines, analytics datasets, and serverless data services

Domain

Data Engineering / Analytics Infrastructure

Deliverable

production ML models

Required skills

SQL, Python, Airflow, dbt, AWS (Lambda), data warehouse architecture, data modeling, pipeline reliability, technical leadership

Preferred skills

Modern data stack tools (Fivetran, Redshift, Sigma), data governance, automation, mentorship

Technologies

Airflow, dbt, Python, Fivetran, Redshift, Sigma, AWS Lambda

Responsibilities

Design and lead development of scalable data pipelines; Guide architecture and evolution of the company data platform; Build integrations across modern data stack tools; Develop serverless data services using AWS Lambda; Improve pipeline reliability through testing, monitoring, and observability; Mentor engineers and analysts on data modeling and platform best practices

Seniority

Staff, hands-on IC with strategic influence

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About LeafLink

Series D200 Employees

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.