Afresh

Data Engineer

Afresh

Overview

Role focused on building data pipelines to reduce food waste through AI.

Ideal candidate has 2+ years of experience in data workflows and strong problem-solving skills.

Only candidates from Ontario, Canada or specific states in the U.S. are considered

remotemidPythonPySparkSQLdbtDatabricksSnowflake

Locations

  • Canada, Ontario
  • United States, North Carolina
  • United States, Oregon
  • United States, New York
  • United States, Montana
  • United States, Kentucky
  • United States, California
  • United States, Florida
  • United States, Arkansas
  • United States, New Jersey
  • United States, Washington
  • United States, Michigan
  • United States, Pennsylvania
  • United States, Colorado
  • United States, Illinois
  • United States, Massachusetts
  • United States, Texas
  • United States, Missouri
  • United States, Georgia
  • United States, Wisconsin
  • United States, Nevada

Requirements

  • 2+ years of experience with ETLs or data workflows
  • Experience with Python, PySpark, SQL
  • Ability to work with messy datasets

Responsibilities

  • Build and maintain data pipelines
  • Improve customer integrations
  • Collaborate on data solutions
Data Engineer | Afresh