Sweed POS

Data Engineer

Sweed POS

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowCloudDockerKubernetesPythonSQL

About the role

  • Remote data engineer for Sweed, a remote cannabis retail software startup.
  • Migrating reporting infrastructure to a new data platform (Airbyte, dbt, Dagster, ClickHouse, Cube).
  • Set up data export pipelines for clients and data streams for ML workflows.
  • Establish pipeline monitoring and alerting.
  • Ingest pipelines and integrate data sources with Airbyte or Fivetran.
  • Create and optimize data transformation models using dbt, macros, and write data quality tests.
  • English: Upper-Intermediate+; communicate with English-speaking team; read/write docs in English.
  • Team size 140; remote-first; Europe to Bali; flexible hours; USD salary; remote work.
  • Project is 4 years on market; daily feature launches; focus on customer trust and delivery processes.

Requirements

  • Experience in Python for data processing tasks.
  • Understanding of batch and real-time data processing.
  • Proficiency with Git, CI/CD systems, and working with cloud platforms.
  • Expertise in one or more pipeline orchestration frameworks (e.g., Airflow, Dagster, Kestra, mage.ai). Manage data pipelines, automate schedules, and handle error processing.
  • Strong proficiency in SQL for complex queries and data manipulation.
  • Experience in design and optimizing queries and data storage structures in ClickHouse, with experience handling large datasets.
  • Understanding of C# is a plus.
  • Experience with Docker, Kubernetes (k8s), and Helm charts is highly desirable.
  • Upper-Intermediate English or higher.