Senior Data Engineer - Remote

Overview

The Senior Data Engineer is a high-impact role responsible for building scalable data pipelines, developing automated reporting solutions, and enabling data-driven decision-making in a remote setting.

In Short

• Build and maintain ETL pipelines using Python and SQL.
• Manage and optimize structured datasets within Databricks.
• Write performant SQL queries for reporting and analytics.
• Develop dashboards and reporting tools using Superset, Dash, and Plotly.
• Identify and resolve inefficiencies in data workflows.
• Enable stakeholders to make data-driven decisions through automated reporting.
• Collaborate with client teams to understand data needs.

Requirements

• Proficiency in Python and SQL (non-negotiable).
• Experience building ETL pipelines in production environments.
• Familiarity with Databricks and big data tools (preferred).
• Knowledge of visualization tools like Superset, Dash, Plotly.
• Strong knowledge of Pandas; PySpark is a plus.
• Focus on batch data processing (not real-time streaming).

Benefits

• Global expertise and remote flexibility.
• Opportunity to work on cutting-edge data projects.
• Career growth and technical leadership opportunities.
• High autonomy and impact in projects.
• Innovative, mission-driven culture prioritizing excellence.