Data Engineer - Remote

Overview

We are looking for a skilled Data Engineer to design, build, and maintain the pipelines and models that power our analytics, reporting, and machine learning initiatives. You’ll be central to transforming raw data into reliable, actionable insights by integrating diverse sources into a unified data platform.

In Short

• Design, develop, and maintain data ingestion, transformation, and modeling pipelines.
• Build and optimize data models to support analytics, dashboards, and KPIs.
• Deliver data models for use by ML Engineers, Data Analysts, and Data Scientists.
• Ensure data quality, reliability, and governance across ingestion and transformation workflows.
• Collaborate cross-functionally on initiatives requiring clean, well-structured data.
• Continuously improve performance, scalability, and maintainability of data workflows.

Requirements

• 4+ years of experience in data engineering, with strong pipeline and modeling expertise.
• Deep knowledge of data warehousing and data modeling in cloud platforms (e.g., Snowflake).
• Hands-on experience with Fivetran and GraphQL.
• Strong skills in SQL and Python for data manipulation and pipeline development.
• Familiarity with AWS and Google Cloud environments.
• Understanding of data governance, schema evolution, and CI/CD practices.

Benefits

• Opportunities for professional growth and advancement.
• Engaging work environment with collaborative teams.
• Access to cutting-edge technologies and tools.
• Flexible working hours and potential for remote work.
• Comprehensive health benefits and wellness programs.