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Appdome is seeking a Data Assurance Engineer to ensure the accuracy, stability, and reliability of data across its analytics and security event systems. The company is an AI-native mobile security platform protecting over 50,000 apps and 1 billion end users globally, recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026.
In this role, you will design and build automated validation processes for large-scale event pipelines, validating end-to-end data flows across ingestion, processing, storage, and dashboard layers. You'll create SQL-based validations to verify event counts, unique devices, metadata accuracy, schema consistency, latency, and data freshness. A key responsibility is investigating discrepancies between production systems, staging environments, data warehouses, object storage, and customer-facing dashboards.
You will monitor event volume, data latency, anomalies, spikes, drops, duplicates, and missing data in real time. You'll build and maintain CI/CD validation jobs using tools such as Jenkins or GitLab CI, and create clear automated reports, dashboards, and email summaries for validation results. Collaboration is essential—you'll work closely with backend engineers, data engineers, QA teams, and product stakeholders to identify, report, and validate fixes for data quality issues.
Additional responsibilities include supporting performance and scalability testing for analytics dashboards, queries, and data pipelines, and helping improve internal data assurance processes, data observability, and production monitoring. This is a hands-on technical role ideal for someone with strong experience in data validation, automation, analytics testing, and large-scale event pipeline quality.
