Data Engineer (100% Remote)

We are looking for a Data Engineer to design and build scalable data solutions in a modern cloud environment.

You will work with Databricks, Spark, and Azure, contributing to the development of a robust data platform and enabling advanced analytics across the business.

This is a fully remote role with strong technical exposure and impact on data-driven decision making.

• *Responsibilities
• Design and build data pipelines and data platforms using Databricks and Spark
• Work with Azure data services and cloud architecture
• Develop and optimize data models and data lake solutions
• Ensure data quality, performance, and scalability
• Collaborate with data analysts, engineers, and business stakeholders
• Contribute to data platform architecture and best practices
• Continuously improve data processing and pipeline performance
• *Expectations
• Experience as a Data Engineer or similar role
• Strong hands-on with Databricks and Spark
• Experience with data lakes / data platforms / ETL pipelines
• Knowledge of Azure Cloud (Data Factory, Synapse, etc.)
• Good SQL and programming skills (Python / Scala preferred)
• Understanding of data architecture and distributed systems
• *Why This Role**
• 100% remote setup
• Work on modern data stack (Databricks + Azure)
• High impact role in building scalable data platforms
• Opportunity to work on large datasets and complex architectures