Data Engineer in Test

• Ensuring the accuracy of data and the health, reliability, and observability of analytics and data systems
• Building monitoring, alerting, and validation frameworks that provide early detection of data issues, pipeline failures, performance degradation, and system-level risks
• Developing SQL-based data quality checks, Python-driven automation, and reliability safeguards to monitor data pipelines, transformations, and analytics outputs
• Tracking system health signals such as freshness, volume anomalies, latency, and job stability
• Working closely with data engineering, analytics, and platform teams to define reliability standards, SLAs, and alerting strategies

• Advanced SQL skills for building data quality checks, anomaly detection, alerting logic, and monitoring queries, ideally in Snowflake or similar cloud data warehouses
• Strong Python proficiency for automation, validation frameworks, orchestration, and system health checks
• Experience designing and maintaining data quality and reliability frameworks, including freshness, completeness, accuracy, volume, and schema validation
• Solid understanding of data pipelines and analytics workflows, including ETL/ELT processes, transformations, and downstream consumption
• Experience monitoring system and pipeline health, including job failures, latency, throughput, and SLA adherence
• Familiarity with alerting and observability concepts, such as thresholds, anomaly detection, alert fatigue reduction, and incident prioritization
• Ability to perform root-cause analysis and contribute to remediation and prevention of recurring issues
• Experience with automation and testing frameworks such as Playwright, Selenium, Cypress, or similar tools is a strong asset
• Understanding of end-to-end testing concepts, including validation of analytics dashboards, alerts, and user-facing data flows
• Ability to integrate automated checks into CI/CD or scheduled workflows
• Proficiency with version control (Git) and collaborative development workflows
• Experience writing maintainable, well-documented code and SQL
• Familiarity with CI/CD pipelines, task schedulers, or orchestration tools (e.g., Airflow, dbt, or similar) is beneficial
• Strong analytical mindset with attention to detail and a proactive approach to identifying risk
• Ability to work cross-functionally with data engineering, analytics, and platform teams
• Clear communication skills to explain data and system issues to both technical and non-technical stakeholders

Experience with automation and UI testing frameworks—such as Playwright, Selenium, Cypress, or similar tools—is considered a strong asset

• Professional Growth: Work on a variety of projects, enhancing your testing skills across different applications and technologies
• Impactful Work: Play a key role in delivering high-quality solutions that shape the future of the sports and entertainment industries
• Collaborative Environment: Be part of a team that values ideas, fosters a supportive atmosphere, and encourages continuous learning and improvement
• Innovative Culture: Join a company committed to revolutionizing fan and stakeholder engagement through cutting-edge technology
• Equal Opportunity Employer: Two Circles is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees