All jobs
LeafLinkData
Senior Data Engineer
United States$125,000—$155,000 USDPosted 17 days ago
LeafLink is the largest unified B2B cannabis platform providing tools for licensed cannabis businesses to manage, sell, and order from brands, streamlining operations across North America. Recognized for rapid growth and innovation, it processes over $5 billion annually and is backed by leading venture capital firms.
Location: United States
Salary: $125,000—$155,000 USD
Responsibilities
- 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.
- 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.
Requirements
- 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.
Benefits
- Flexible PTO
- A robust stock option plan
- 5 Days of Volunteer Time Off (VTO)
- Competitive compensation and 401k
- Comprehensive health coverage (medical, dental, vision)
- Commuter Benefits through Flexible Spending Account
Additional Information
- Mention the word grass in your application