Data Engineer

Responsibilities

• Clean, normalize, and join customer, sales, and operational data from multiple sources
• Fix broken or unreliable data pipelines and tables
• Maintain consistent definitions for core customer and revenue metrics
• Build and maintain simple, reliable data pipelines
• Create analytics-ready tables to support reporting, dashboards, and analysis
• Add basic data quality checks to catch missing, incorrect, or inconsistent data
• Monitor pipelines and resolve issues when data breaks
• Document datasets for organizational use
• Support analysts and data scientists by providing clean, well-structured data
• Collaborate with product, sales, and operations teams to understand data needs

Requirements

• 2–4 years of experience in data engineering, analytics engineering, or a similar role
• Experience working with real-world, imperfect data
• Strong SQL skills
• Working knowledge of Python
• Experience building and maintaining data pipelines
• Familiarity with cloud data warehouses and ETL/ELT tools
• Detail-oriented and execution-focused
• Ability to explain data issues to non-technical teammates

About the Company

BGC offers a clear, focused role with the opportunity to grow technical depth in data engineering and analytics within a collaborative team that values clean, usable data.