Data Engineer, Enterprise Data, Analytics and Innovation - Remote

Overview

As a Data Engineer, you will build robust data infrastructure and enable innovation through engineering excellence, ensuring data reliability, scalability, and accessibility.

In Short

• Design and operate reliable ETL and ELT pipelines in Python and SQL.
• Manage data ingestion and quality across Medallion architecture.
• Implement observability and data quality checks to ensure trust in datasets.
• Develop schemas and best practices for data security and integrity.
• Lead integration of new data sources and collaborate with product teams.
• Support analytics and predictive features for decision-making tools.
• Monitor performance and troubleshoot data issues for cost efficiency.
• Contribute to CI/CD practices for data pipelines.

Requirements

• 5+ years of experience in data engineering or related roles.
• Strong proficiency in Python and SQL.
• Experience with lakehouse or modern data platforms.
• Understanding of Medallion architectures.
• Familiarity with modern data stack tools like Spark, Airflow, and Docker.
• Excellent communication and problem-solving skills.

Benefits

• 100% remote work environment.
• Positive and supportive company culture.
• Investment in professional growth and development.
• Health benefits including medical, dental, and vision.
• Generous parental leave and flexible time off policy.
• 401(k) Plan with company match.
• Work-Life Balance and flexibility in work hours.