Senior Data Engineer - Data Quality

Renown Health is hiring a Senior Data Engineer to design, develop, implement, and maintain scalable data solutions for its Enterprise Data Platform. The role builds reliable data pipelines, integrations, models, and products, supports data quality and governance, and provides technical leadership across assigned solutions and workstreams.

Responsibilities:

• Design, develop, implement, and maintain scalable data pipelines, integrations, data models, and data products that support clinical, operational, financial, analytical, and data science needs
• Partner with analysts, data owners, subject matter experts, and technical teams to understand business requirements and deliver trusted, reusable data solutions for assigned domains
• Build and support ingestion, transformation, and delivery processes for data from internal and external sources using appropriate batch, streaming, API, file-based, and database integration patterns
• Develop and maintain data structures and transformation logic that organize enterprise data for reliable downstream use, including reporting, analytics, extracts, interoperability, and other data consumers
• Implement automated validation, testing, monitoring, and alerting capabilities to identify data anomalies, pipeline failures, and quality degradation. Partner with data owners and technical teams to perform root-cause analysis and support remediation
• Apply software and data engineering practices, including source control, code review, automated testing, CI/CD, reusable development patterns, and version-controlled documentation
• Monitor and optimize data solutions for performance, scalability, reliability, maintainability, and cost. Troubleshoot production issues and implement preventative improvements
• Support established governance, security, privacy, metadata, lineage, and data classification standards. Develop and maintain technical documentation, data mappings, data dictionaries, and data-flow documentation
• Provide technical guidance and mentorship to engineers and analysts, contribute to solution architecture and design decisions within established enterprise and platform architecture standards, and promote shared engineering standards and best practices

Requirements:

• Advanced knowledge of data engineering concepts, including data integration, transformation, modeling, storage, orchestration, and delivery
• Advanced proficiency developing and optimizing data solutions using SQL and general-purpose programming or scripting languages
• Demonstrated experience designing and supporting scalable data pipelines, data models, integrations, and data products across large, complex datasets
• Demonstrated experience with modern cloud data platforms and services, particularly Microsoft Azure and Databricks, or comparable technologies
• Knowledge of automated testing, data validation, monitoring, alerting, and troubleshooting practices used to support reliable production data solutions
• Experience with source control, CI/CD, code review, documentation, and other modern software engineering practices
• Knowledge of data governance, metadata, lineage, security, privacy, and data-quality principles
• Ability to translate business and technical requirements into scalable, maintainable data solutions
• Ability to lead technical work, communicate complex concepts clearly, and mentor engineers and analysts
• Ability to collaborate effectively with data owners, business stakeholders, analytics teams, DataOps, platform engineers, and other technical teams
• Ability to read, write, speak, and understand English sufficiently to perform job duties safely and effectively
• Bachelor#s degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related field required
• Equivalent relevant education and professional experience may be considered
• Minimum of seven (7) years of relevant professional experience, including at least five (5) years in data engineering, analytics engineering, data platform engineering, data quality engineering, data science, or a related technical discipline
• Advanced proficiency in SQL and experience designing, developing, and supporting complex data pipelines, integrations, and data models required
• Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, Teams, and Word
• Knowledge of healthcare data, terminology, and business functions is preferred
• Healthcare data experience preferred