LeafLink
Staff Data Engineer
Remote. The employer does not say where candidates may be based.
Location not stated
Employer listed it 8 weeks ago · Added yesterday
Been open since 8 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
$170k to $230k per year
Location
Location not stated
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Data
Stated by the employer in the job description
Remote flexibility
Undisclosed
The listing is advertised as remote but does not state which countries or regions candidates may work from.
Why this role is Undisclosed
We only label a role Work from anywhere, Region restricted or Work from home when the employer's own wording says so. We checked this advert under our current rules and found no country or region eligibility requirement in it. We don't guess, so it stays Undisclosed until the employer publishes enough location information. Here is exactly what the advert left out.
- Countries you can work from: Not stated. The advert only gives "Remote", which names no country you must live in.
- Whether the work is remote: Never mentioned. The role reached us through a remote job board, but the advert itself doesn't say the work is remote.
- Working hours: Not stated. No timezone overlap or set hours are mentioned, so assume nothing either way.
Worth a look all the same. Missing wording is usually a rushed job posting rather than a closed door, so ask where you can be based in your first message, before you write a tailored application.
What the employer says
- Source listing states candidate location: "Remote"
What Nomaders makes of it
- No residency or region requirement found in the job description
- Check with the employer before assuming you can work from abroad
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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.
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 health coverage (medical, dental, vision)
How to apply
- 1Check the flexibility label above, undisclosed, matches where you plan to live and work.
- 2Tailor your CV to the role at LeafLink, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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