Key skills
AirflowAWSBigQueryPostgresPythonSQLTableauData EngineeringAnalyticsLookerSupabaseGitHubJiraCommunication
About this role
Role Overview
- Build and maintain API integrations
- Ingest, clean, and normalize data from external sources
- Create reliable base tables for reporting
- Write and optimize SQL queries
- Develop and maintain Python-based data pipelines
- Orchestrate workflows using Airflow
- Manage GitHub repositories and scheduled data pushes (e.g., into BigQuery)
- Test and validate data accuracy (ensuring API outputs match UI data)
- Collaborate closely with Product, Data Analytics, and Engineering
Requirements
- 1+ year of hands-on data engineering experience (not just analytics)
- Strong Python and SQL skills
- Experience ingesting API data into a data warehouse
- Experience building and maintaining data pipelines
- Experience working with Airflow (or similar orchestration tools)
- Comfort managing GitHub repositories
- Strong testing mindset and attention to detail
- GitHub profile link included in your application
Nice-to-Have
- Experience with BigQuery
- Experience with Postgres or Supabase
- Familiarity with Jira or other ticketing tools
- Exposure to Looker Studio, Tableau, or AWS
Tech Stack
- Airflow
- AWS
- BigQuery
- Postgres
- Python
- SQL
- Tableau
Benefits
- Fully remote performance
- Enjoy the freedom to perform from the comfort of your own stage.
- Performance-based salary increase opportunities
- Your performance and impact will be recognized through structured salary reviews.
- Opportunities for professional growth
- Be part of an industry that’s blazing a trail, working with the largest companies in the cannabis industry.
- A collaborative and supportive team culture
- Join a team that values teamwork, open communication, and shared success.
- An international working environment – Collaborate with colleagues and clients from around the world, gaining global exposure and perspective.