Senior Data Integration Engineer

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About the team

We are looking for a Data Integration Engineer to take ownership of our data streams end-to-end. In this role, your primary focus isn't traditional UI or API testing—you will dive deep into the data itself. You will act as the vital link between raw incoming data feeds and a high-quality final product, ensuring accuracy, consistency, and reliability across our entire data pipeline. If you care about data as a product and want to solve complex data anomalies at their source, we’d love to talk!

What you'll do

• Data Quality Ownership: Define data quality requirements, metrics, and SLAs aligned with business and engineering needs.
• Monitoring & Alerting: Set up dashboards, track data SLAs, and proactively identify anomalies, drift, duplicates, and defects within numerical and production data streams.
• Incident Investigation & Remediation (RCA): Conduct root cause analysis across the full data lifecycle when discrepancies occur, fix incorrect records, and implement measures to prevent recurrence.
• Integration & Schema Design: Participate in designing data schemas/models and lead the onboarding and ingestion of new data sources and APIs.
• Automation & Coverage: Expand automated data quality test coverage and build pipeline checks to catch issues early.
• Cross-Functional Collaboration: Partner closely with developers, product managers, and analysts to clarify requirements, optimize pipelines, and drive quality improvements.
• Documentation: Maintain and evolve comprehensive data documentation, schema definitions, and defect logs.

What makes you the perfect fit

• 2+ years in Data Engineering, Data Quality, DataOps, or Data Analytics.
• Core Data Quality Skills: Strong understanding of data profiling, data anomalies, and core DQ dimensions (completeness, accuracy, consistency, timeliness).