Data Engineer

Overview

Build ingestion and transformation pipelines for a data platform, including automated validation and quality checks used by downstream systems.

What you'll do

• Build and maintain ingestion and transformation pipelines across diverse sources.
• Create automated validation and integrity checks to catch problems early.
• Model and move data so downstream systems can rely on it.
• Monitor pipeline health and troubleshoot data issues.
• Review code, including AI-generated code, for quality and consistency.
• Collaborate with engineers and product to define quality standards.

What you'll need

• 5+ years in data or backend engineering.
• Strong SQL and data modeling across relational and analytical stores.
• Solid grasp of ingestion, ETL, and pipeline architecture.
• Experience designing data validation and quality checks at scale.
• Experience building on AWS.
• Strong English communication skills.
• Comfortable in a fast-paced, agile consulting environment.

Details

• Work mode indicated as remote (listed as #LI-Remote).