Careers @ Headset

Founded in 2015, Headset provides industry-leading data analytics & market intelligence solutions for the emerging cannabis industry. Everything at Headset begins with retail and consumer shopping. Headset connects with point-of-sale data from retail and dispensary cooperators, giving Headset subscribers an aggregated market read, providing visibility into industry trends, market data, competitive insights and new opportunities all in real-time. We work with close to 3,500 retailers in both medical and adult-use markets in the United States and Canada, delivering comprehensive cannabis business intelligence solutions for cannabis products & businesses.

Current Openings

Data Engineer

About the Data Engineering Role:

Headset is seeking a Data Engineer to join our data team as we continue to develop and support new products. The ideal candidate will use their passion for big data to acquire and process data to serve the needs of our data scientists and analysts. They will be primarily responsible for our bug triage process, ensuring stability of our data pipeline, and supporting a new product enhancements. In a typical week you can expect to be writing SQL to expand and optimize our data and data pipeline architecture (using Snowflake & dbt), supporting operations by triaging bugs (Azure DevOps) and improving our monitoring systems (Python, Looker), and work cross-functionally on new product releases.

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Required Qualifications:

3+ years in data analysis and data engineering
BS in Computer Science, IT, Mathematics, or similar field or equivalent practical experience
Ability to take ownership of a project and see it through to completion
Expertise in cloud data pipelines and modern data warehouses
Dream in SQL - If you don't know the difference between a where clause and a having clause, you need not apply
Excel (formulas, vlookups, pivot tables, etc.)

Preferred Qualifications:

Looker & LookML experience
dbt
git/github

Primary Responsibilities:

Create clean, transformed data sets that are ready for analysis or ingestion by Looker
Optimize complex queries in Snowflake and Looker
Organize data projects using version controlling, testing, and continuous integration as well as consistently documenting and communicating changes
Create monitoring processes so that we can be alerted to data problems before our end-users alert us
Support operations by owning our bug triage process

Our Tech Stack:

BI / Reporting: Looker
Data: MS SQL Server, Fivetran, Snowflake, DBT

What We Believe

Our Core Values

Our mission — enable the success of the cannabis industry through unparalleled market intelligence and consumer trends, removing the guesswork from decision-making.

Ownership

We practice relentless grit: Pushing through obstacles while dedicating one’s self to take ownership of our work.

Trust

No need for silos. We let integrity guide our actions, while operating with radical transparency and trust in the people we work with.

Data

We are data driven to the core. Data drives our decision making and measurement is critical. We strive to help our customers differentiate their own success with useful data.

Growth

Rapid growth is critical to success. We employ a sense of urgency while avoiding panic. We embrace feedback with the understanding that ‘perfect is the enemy of good’.