Data Engineer III - Remote

Overview

Spreetail propels brands to increase their ecommerce market share across the globe while improving their operational costs. We are building one of the fastest-growing ecommerce companies in history.

In Short

• Design and implement reliable, scalable data pipelines and storage solutions.
• Champion data quality, observability, and cost optimization.
• Advance Spreetail's Hybrid Data Platform strategy.
• Collaborate closely with Product, Data Management, and Engineering teams.
• Influence through clarity, humility, and technical credibility.
• Champion high standards in data modeling, pipeline testing, and code quality.
• 6+ years in data engineering or platform engineering roles.
• Experience modernizing legacy data workflows.
• Proficiency in data orchestration and cost optimization.
• Fluency in SQL and Python.

Requirements

• 6+ years in data engineering or platform engineering roles and experience coaching less experienced engineers.
• Demonstrated success building systems that support analytical, operational, or ML use cases.
• Experience modernizing legacy data workflows or leading platform transitions.
• Expertise with batched and streaming data workloads.
• Proficiency in data orchestration (e.g., Dagster) and schema evolution.
• Fluency in SQL and Python; working knowledge of infrastructure-as-code and containerized deployment.

Benefits

• Flexibility to work from home, coffee shop, or office.
• Quarterly corporate team gatherings for collaboration and engagement.
• Empowerment to work in the way that suits best.