Senior Data Engineer

Responsibilities: The Essential Duties and Responsibilities listed below are a range of duties performed by the employee and not intended to reflect all duties performed. Workflow Orchestration and Automation

• Own and optimize scheduled workflows, including dependency management, resource controls, and alerting (AutoSys used heavily. Production Reliability and On-Call Support
• Participate in an on-call rotation and respond to production pipeline failures; troubleshoot, restore service, and drive root cause fixes to prevent recurrence. Data Quality and Validation Engineering
• Build and maintain validation checks and reconciliation controls to ensure data integrity across critical datasets.
• Support SOX (Sarbanes-Oxley) readiness by designing, documenting, and evidencing controls over financial and billing data pipelines, and partnering with internal audit and the third-party assessor on testing and remediation. Data Pipeline Engineering & Automation
• Maintain and enhance existing production data pipelines for ingestion, transformation, and storage of large datasets; implement pragmatic modernization where it reduces operational risk.
• Troubleshoot and resolve data pipeline and ETL failures, implementing robust monitoring and alerting systems.
• Automate manual run steps and harden workflows to reduce paging/noise and improve recovery time. Data Infrastructure, Modeling & Governance
• Optimize data models for analytics and business intelligence reporting.
• Build and maintain data infrastructure, ensuring performance, reliability, and scalability.
• Implement best practices for data governance, security, and compliance.
• Work with structured and unstructured data, integrating data from various sources including databases, APIs, and streaming platforms. Cross\u2011Functional Collaboration, Leadership & Documentation
• Collaborate with data analysts, data scientists, and…