Principal Data Engineer - Remote

Overview

The Principal Data Engineer will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources, enhancing data flow and enabling end-users to analyze data effectively.

In Short

• Design, build, and maintain data processing pipelines.
• Lead the writing of complex SQL queries.
• Develop tools leveraging AI and machine learning for data transformation.
• Evaluate and recommend data infrastructure tools.
• Collaborate with various stakeholders to translate business requirements.
• Work with structured and unstructured data from various data stores.
• Architect and scale data platforms for real-time and batch processing.
• Enforce data governance and compliance standards.
• Champion security and automation in data workflows.
• Evaluate emerging technologies for future data stack improvements.

Requirements

• Expertise in Python, SQL, and distributed processing frameworks.
• Experience with cloud-based data platforms (AWS or Azure).
• Hands-on experience with data orchestration tools.
• Understanding of data security and compliance in financial services.
• Experience with structured and semi-structured data.
• Familiarity with Salesforce, Netsuite, and Anaplan.
• Experience democratizing data at scale is a plus.
• Bachelor's or master's degree in a related field.
• 6-8 years of experience in data engineering.

Benefits

• Competitive salary.
• Opportunities for professional development.
• Collaborative work environment.
• Flexible working arrangements.
• Access to cutting-edge technologies.