Data Engineer • Customer Analytics

This role is responsible for cleaning, organizing, and maintaining customer and operational data so it can be reliably used for analytics, reporting, and basic modeling. The Data Engineer focuses on making messy data usable, consistent, and trustworthy for the rest of the business.

This is a hands-on execution role, not a senior or architecture role. Success is measured by how clean, reliable, and easy-to-use the data becomes for analysts, product, and business teams.

What Success Looks Like

• Customer and operational datasets are clean, consistent, and easy to analyze
• Data pipelines run reliably with minimal errors
• Analysts and stakeholders spend less time fixing data and more time using it
• Basic data quality checks are in place and working

Key Responsibilities
Data Cleanup & Maintenance

• Clean, normalize, and join customer, sales, and operational data from multiple sources
• Fix broken or unrelia...