Senior Data Engineer - Data Quality

Renown Health; Reno (NV); Hybrid; USD 120,000 - 165,000; Full time

Job summary

Renown Health is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and products within the Enterprise Data Platform. You will partner with analysts, data owners, and stakeholders to deliver secure, reliable data solutions across clinical, operational, financial, and analytic needs.

You will lead data engineering efforts, apply industry practices for data governance, & ensure performance, reliability, and cost-effectiveness across the data lifecycle.

Qualifications

• Advanced knowledge of data engineering concepts including integration, transformation, modeling, storage, orchestration, and delivery.
• Advanced proficiency in SQL and programming or scripting languages.
• Experience designing, developing, and supporting scalable data pipelines, models, and integrations in large datasets.
• Experience with modern cloud platforms and services, particularly Microsoft Azure and Databricks, or comparable technologies.
• Knowledge of automated testing, validation, monitoring, and troubleshooting for production data solutions.
• Experience with source control, CI/CD, code review, and documentation.

Responsibilities

• Design, develop, implement, and maintain scalable data pipelines, models, and products for clinical, operational, financial, analytics, and data science needs.
• Partner with analysts, data owners, and teams to deliver trusted data solutions for domains.
• Build and support ingestion, transformation, and delivery from internal/external sources using batch, streaming, API, file, and DB patterns.
• Develop and maintain data structures and transformation logic for reliable downstream use.
• Implement automated validation, monitoring, and alerting to detect data quality issues and outages.
• Apply software and data engineering practices: version control, code review, tests, CI/CD, and documentation.
• Monitor and optimize data solutions for performance, scalability, reliability, and cost; troubleshoot production issues.
• Support governance, metadata, lineage, security, privacy standards; document data mappings and data-flow.
• Provide technical guidance and mentorship to engineers and analysts; contribute to architecture decisions.

Skills

Data engineering concepts

SQL

Programming/scripting

Cloud data platforms (Azure/Databricks

Data governance & security

Leadership & mentoring

Collaboration with stakeholders

Education

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or related field

Tools

Azure Data Platform

Databricks

CI/CD

Job description

Purpose

The Senior Data Engineer designs, develops, implements, and maintains scalable data solutions within Renown Health's Enterprise Data Platform. This role builds and supports data pipelines, data models, integrations, and data products that enable reliable access to enterprise data for clinical, operational, financial, analytical, and data science needs.The Senior Data Engineer partners with technical teams, analysts, data owners, and business stakeholders to deliver secure, reliable, and maintainable solutions throughout the data lifecycle. The role applies engineering standards and best practices for data integration, transformation, validation, monitoring, documentation, and performance, while supporting the continued evolution of Renown Health's enterprise data architecture.Senior Data Engineers provide technical leadership for assigned solutions and workstreams in areas such as platform development, domain-aligned data solutions, data delivery, data quality, and reliability.

Purpose

The Senior Data Engineer designs, develops, implements, and maintains scalable data solutions within Renown Health's Enterprise Data Platform. This role builds and supports data pipelines, data models, integrations, and data products that enable reliable access to enterprise data for clinical, operational, financial, analytical, and data science needs.The Senior Data Engineer partners with technical teams, analysts, data owners, and business stakeholders to deliver secure, reliable, and maintainable solutions throughout the data lifecycle. The role applies engineering standards and best practices for data integration, transformation, validation, monitoring, documentation, and performance, while supporting the continued evolution of Renown Health's enterprise data architecture.Senior Data Engineers provide technical leadership for assigned solutions and workstreams in areas such as platform development, domain-aligned data solutions, data delivery, data quality, and reliability.

Nature And Scope

This role can be either remote or hybrid.

Primary Responsibilities

• Data Solution Development: Design, develop, implement, and maintain scalable data pipelines, integrations, data models, and data products that support clinical, operational, financial, analytical, and data science needs.
• Domain-Aligned Data Engineering: Partner with analysts, data owners, subject matter experts, and technical teams to understand business requirements and deliver trusted, reusable data solutions for assigned domains.
• Data Integration and Delivery: 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.
• Data Modeling and Transformation: 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.
• Data Quality and Reliability: 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.
• Engineering Standards and Automation: Apply software and data engineering practices, including source control, code review, automated testing, CI/CD, reusable development patterns, and version-controlled documentation.
• Performance and Operational Support: Monitor and optimize data solutions for performance, scalability, reliability, maintainability, and cost. Troubleshoot production issues and implement preventative improvements.
• Data Governance and Documentation: Support established governance, security, privacy, metadata, lineage, and data classification standards. Develop and maintain technical documentation, data mappings, data dictionaries, and data-flow documentation.
• Technical Leadership and Collaboration: 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.

Incumbent Must Possess

• 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.
• Knowledge of healthcare data, terminology, and business functions is preferred.
• This position does not provide patient care

Minimum Qualifications

Requirements - Required and/or Preferred Name Description Education: 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. Experience: 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. Healthcare data experience preferred. License(s): None Certification(s): None Computer / Typing: Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, Teams, and Word and have the ability to use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.

Disclaimer

The foregoing description is not intended to be, and should not be construed as, an exhaustive list of all responsibilities, skills, efforts, or working conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job.