Senior Data Engineer

ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud Platform (GCP). This is a senior individual contributor role focused on designing, building, and optimizing scalable data solutions that enable analytics, reporting, governance, and AI initiatives across the enterprise. The ideal candidate is a hands-on engineer with deep technical expertise in cloud data platforms, data modeling, ELT development, and modern engineering practices. You will work across the full data lifecycle, from data ingestion and transformation to orchestration, quality, observability, and governance, helping deliver trusted and scalable data products that support business decision-making. WHAT YOU'LL DO Data Pipeline Development & Optimization Design, build, and maintain scalable ELT pipelines into BigQuery using Fivetran, APIs, Python, and cloud-native services Develop and optimize bronze, silver, and gold data layers following Medallion Architecture principles Create and maintain reusable dbt models that support enterprise reporting, analytics, and self-service use cases Design and implement scalable ingestion patterns for structured and semi-structured data Troubleshoot and resolve complex data pipeline, transformation, and performance issues Improve pipeline reliability, performance, scalability, and maintainability Data Modeling & Analytics Enablement Design and implement scalable data models supporting business intelligence, analytics, and operational reporting Partner with business analysts, product owners, and stakeholders to understand and translate requirements into technical solutions Develop reusable business-focused datasets and metrics aligned with enterprise standards Support semantic modeling and reporting initiatives across business domains Contribute to the standardization of enterprise metrics and reporting assets Data Quality, Observability & Reliability Implement automated data validation, testing, and data quality checks Develop monitoring, alerting, and observability capabilities across the data platform Investigate and resolve data anomalies, processing issues, and performance bottlenecks Support operational excellence through logging, incident analysis, and root cause investigations Ensure data consistency, accuracy, and reliability across ingestion and transformation processes Platform Engineering & Automation Develop and maintain orchestration workflows using Cloud Composer (Managed Airflow) Contribute to CI/CD pipelines using GitHub and modern deployment practices Support Infrastructure-as-Code initiatives using Terraform and platform automation tools Improve engineering efficiency through automation, reusable components, and standard development patterns Participate in platform optimization and modernization initiatives Data Governance & Security …