Data Quality Engineer - Loyalty Platform
Core
Design and execute data cleansing, profile deduplication, and automated validation pipelines for customer loyalty data across multiple platforms.
Role type
Data Quality Engineer
Builds
Automated validation pipelines, reconciliation jobs, and data quality dashboards for loyalty ecosystems.
Domain
Loyalty platforms, Customer Data Platforms (CDPs), and MarTech.
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL, C# (.NET), Python, REST API integration, deterministic and probabilistic matching, data observability, schema drift detection, referential integrity validation.
Preferred skills
Experience with mParticle, Braze, Xenial Beanstalk, GiveX, Azure cloud services, QSR/retail industry background, data privacy regulations (CCPA, GDPR).
Responsibilities
Audit customer profile data to identify duplicates and corrupted records; Build and maintain automated validation pipelines to detect sync failures and schema drift; Establish data quality KPIs and dashboards to track ecosystem health; Validate data flows between loyalty platforms via REST APIs and event-driven pipelines.
Seniority
Mid-Senior (5+ years experience)
