Data Engineer - Level II - Remote

Overview

The Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making, working closely with leaders across the company on high-profile analytics projects.

In Short

• Implement complex databases and data pipelines.
• Work with strategic partners to develop data solutions.
• Perform data manipulation using SQL and Python.
• Automate data ingestion, transformation, and integration.
• Evaluate data quality and completeness.
• Build partnerships to support data-related goals.
• Explore new technologies and data sources.
• Identify and implement internal process improvements.
• Create and maintain optimal data pipeline architecture.

Requirements

• 1-2+ years of data/software engineering experience.
• Experience with SQL, Python, and relational databases.
• Understanding of dimensional data modeling.
• Familiarity with MLOps framework.
• Strong data manipulation skills.
• Excellent critical thinking skills.
• Strong organizational skills and attention to detail.
• Exceptional collaboration and relationship building skills.
• Ability to communicate effectively to different audiences.
• Flexibility to meet changing requirements.

Benefits

• Opportunity to work on high-profile analytics projects.
• Dynamic and growing team environment.
• Focus on employee growth and development.
• Supportive company culture.