Data Engineer - Remote

Overview

As a Data Engineer at Transfr, you will help build data solutions from multiple sources that enable fast, data-driven decision making on issues including usability, learning, product engagement, and quality.

In Short

• Work with stakeholders to map business definitions to logical definitions that can be modeled in DBT.
• Instrument data solutions from multiple sources for data-driven decision making.
• Build infrastructure for optimal extraction, transformation, and loading of data using GCP technologies.
• Create and maintain data pipeline architecture and configuration.
• Support cross-functional teams with data strategies and documentation.
• Adhere to data privacy and security guidelines.
• Build data expertise and own data quality.
• Create efficient processes for data integration and transformation.
• Collaborate with internal teams on data-related technical issues.
• Engage in cutting-edge research to contribute to learning analytics.

Requirements

• 4+ years of experience in data engineering or related roles.
• Proven expertise in SQL, Python, and GCP technologies.
• Deep understanding of data warehousing and real-time analytics.
• Proficient in modern data tooling and version control systems.
• Knowledge of robust ETL/ELT pipelines and streaming solutions.
• Familiarity with data privacy and governance best practices.
• Strong communication skills for translating complex data concepts.
• Experience working cross-functionally with various teams.
• Creative problem-solving skills and a self-starter mentality.
• Empathy for data users and focus on usability.

Benefits

• Opportunity to work with innovative VR experiences.
• Engagement in cutting-edge research.
• Collaborative and team-oriented work environment.
• Focus on personal growth and development.
• Contribute to meaningful workplace training initiatives.