Senior Data Engineer - Remote

Overview

As a Senior Data Engineer at LearnLux, you will shape a data ecosystem that empowers every team to make smarter decisions. This high-impact, cross-functional role blends engineering with analytics, visualization, and storytelling.

In Short

• Own the end-to-end delivery of data solutions from ingestion to modeling, visualization, and analysis.
• Build and maintain Airflow DAGs in a Google Cloud-based data lake and warehouse.
• Evolve data infrastructure, including Google Cloud Storage and BigQuery environments.
• Design dashboards and reporting tools to surface insights company-wide.
• Enable self-serve analytics by partnering with various teams.
• Implement scalable data patterns, documentation, and monitoring strategies.
• Act as a subject matter expert on data infrastructure, quality, and governance.
• Collaborate on experimentation frameworks and A/B testing.
• Share knowledge and support teammates through technical discussions.

Requirements

• 5+ years of experience in data engineering or related roles.
• Expertise with Apache Airflow and DAG development.
• Mastery of SQL and enthusiasm for clean, maintainable data models.
• Product-minded with a focus on actionable insights.
• Experience leading cross-functional projects.
• Strong communication and problem-solving skills.
• Passion for mentorship and a collaborative mindset.

Benefits

• Remote-first company structure.
• Medical, dental, and vision benefits.
• 401(k) plan.
• Mental wellbeing support.
• Financial wellbeing resources.
• Equity for full-time employees.
• Paid vacation and sick leave.
• Paid sabbatical after 5 years of service.
• Supportive and inclusive team culture.
• Opportunities for continuous learning and growth.