Intermediate Data Engineer - Remote

Overview

We're seeking a talented Intermediate Data Engineer with a focus on feature engineering and supporting workplace scientists. In this role, you'll report to our Senior Data Engineer and work remotely as part of our cross-functional product development team to transform workplace data into meaningful, actionable insights.

In Short

• Transform modelled data into meaningful features for analysis
• Work with workplace scientists to understand analytical needs
• Implement statistical transformations and validations
• Document feature definitions and lineage
• Partner closely with teams to translate research questions
• Implement data validation frameworks and quality checks
• Debug data pipeline issues
• Maintain and enhance existing data processing pipelines
• Support ETL processes
• Ensure data quality and reliability

Requirements

• 3+ years experience in data engineering
• Strong analytical skills for data quality issues
• Proficient in Python with data manipulation libraries
• Ability to communicate technical concepts effectively
• Experience with data visualization tools
• Bachelor's degree in relevant field preferred
• Knowledge of machine learning concepts
• Understanding of software development lifecycle
• Critical thinking and problem-solving abilities
• Commitment to supporting scientific discovery

Benefits

• Competitive salary based on experience
• Equity through Employee Share Option Plan
• Remote work flexibility
• Opportunity to impact workplace environments
• Collaborative and innovative team culture