Data Engineer

Role Overview

As a Data Engineer, you will build and maintain data pipelines, integrations, datasets, and reporting infrastructure to enable reliable analytics, reporting, and business intelligence.

Responsibilities

• Build, maintain, and document data pipelines, datasets, integrations, and reporting assets
• Support ETL workflows, including data validation, transformations, and data quality checks
• Partner with analysts and stakeholders to understand reporting and data requirements
• Improve the reliability, structure, and accessibility of internal data assets
• Document technical decisions, recurring workflows, dependencies, and procedures

Required Qualifications

• Experience or training with SQL, Python, ETL, APIs, or data pipeline concepts
• Ability to clearly document workflows, assumptions, and dependencies
• Comfortable working with structured data, data quality checks, and reporting systems
• Strong problem-solving skills and effective remote communication
• Ability to work independently, manage assigned work, and meet deadlines

Preferred Qualifications

• Experience supporting remote teams or documentation-heavy workflows
• Comfort using common workplace tools (e.g., spreadsheets, email, calendars, CRM/ATS/ticketing/reporting tools as applicable)
• Ability to maintain accuracy across recurring tasks and internal systems