Data Quality Engineer - San Antonio, TX (Locals only)

Key Responsibilities

Data Cleansing and Profile Deduplication

• Audit customer profile data across loyalty platforms to identify duplicate, fragmented, or corrupted records
• Design and execute profile merge logic using deterministic and probabilistic matching techniques
• Develop and apply data cleansing routines to normalize, standardize, and enrich customer records
• Document merge decisions, audit trails, and remediation outcomes for stakeholder review

Automated Data Quality Checks

• Build and maintain automated validation pipelines to detect data sync failures, schema drift, and referential integrity violations across platforms
• Develop scheduled reconciliation jobs that compare and validate records across mParticle, Braze, Beanstalk, GiveX, Xenial, Snowflake, and Azure SQL
• Implement alerting and reporting to surface data anomalies in near real-time
• Own the end-to-end lifecycle of automated quality checks from design through deployment, monitoring, and iteration

Continuous Monitoring and Observability

• Establish data quality KPIs and dashboards to track health metrics across the loyalty data ecosystem
• Monitor platforms continuously for consistency, completeness, accuracy, and timeliness of data
• Proactively identify and escalate data quality risks before they impact customer-facing loyalty experiences
• Maintain runbooks and documentation for monitoring processes and remediation procedures

Cross-Platform Integration Validation

• Validate data flows between loyalty platforms via REST APIs and event-driven pipelines
• Perform integration testing to confirm data fidelity across ingestion, transformation, and consumption layers
• Collaborate with engineers, system owners, and platform vendors to trace and resolve upstream data issues

Required Qualifications

• 5 years of experience in data quality engineering, data engineering, or a directly related discipline
• Proficiency in SQL with hands-on experience querying and manipulating data in Azure SQL and Snowflake
• Demonstrated experience creating test scripts, test plans, and writing automation scripts and data pipelines in C# (.NET), Python, or both
• Practical experience working with REST APIs for data validation and cross-system reconciliation
• Proven experience with customer profile deduplication, identity resolution, or data cleansing at scale
• Working familiarity with Azure cloud services and cloud-native data architectures
• Ability to work independently, self-manage priorities, and deliver findings with minimal oversight

Preferred Qualifications

• Experience with loyalty platforms, CDPs, or MarTech ecosystems, specifically mParticle, Braze, Beanstalk, GiveX, or Xenial
• Familiarity with identity resolution concepts including deterministic and probabilistic matching
• Experience building or operating data observability and monitoring frameworks
• Background in QSR, retail, or high-volume consumer-facing platform environments
• Knowledge of data privacy regulations (CCPA, GDPR) and consent management best practices

Salary : $50 - $55