Data Quality Engineer
Core
Build and operate automated tooling to measure, monitor, and enforce data quality rules across enterprise data pipelines and platforms.
Role type
Data Quality Engineer
Builds
Automated data quality checks, monitoring dashboards, and alerting systems for governed datasets
Domain
Data Engineering / Data Quality / Analytics Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Python, SQL, building data pipelines, implementing automated data quality checks, operationalizing data quality dimensions, working with cloud data platforms and APIs, translating written rules into executable logic
Preferred skills
AI/ML-assisted classification, human-in-the-loop systems
Technologies
Python, SQL, cloud data platforms, APIs, governance/quality tooling
Responsibilities
Translate authored data rules and quality thresholds into automated, executable quality checks; Build and maintain data quality monitoring, alerting, and dashboards; Integrate quality checks into data pipelines, classification workflows, and governance tooling; Automate detection of rule conflicts, duplicates, and reference data anomalies; Develop tooling to support auditors, analysts, and stewards; Instrument human-in-the-loop workflows to capture validation outcomes; Maintain reliable, performant data quality infrastructure
Seniority
Mid-Senior, hands-on IC
