Sr. Clinical Data Engineer - Onsite San Diego HQ
About The Position
Leads the design and delivery of scalable, production-grade data and analytics systems. Owns complex initiatives across the data lifecycle and ensures solutions are architected with strong engineering discipline, automation, and long-term maintainability. _ Your Contributions (include, but are not limited to): Architect scalable data pipelines, semantic models, and integrated reporting frameworks. Design analytics solutions that connect storage, transformation, and visualization layers. Lead adoption of Git-based workflows, code review standards, and branching strategies. Implement and improve CI/CD pipelines for automated testing and deployment of data assets. Leverage infrastructure-as-code practices to manage environments consistently. Establish best practices for performance optimization, governance, and monitoring. Partner with business leaders to define standardized KPIs and metrics. Mentor engineers in engineering rigor, deployment discipline, and solution design.
Requirements
- Bachelor's degree in computer science, engineering or related technical field and 4+ experience with system/data integration, development or implementation of enterprise and/or cloud software OR Master's degree and 2+ years of similar experience noted above
- Operates with full accountability for system performance, reliability, and business impact.
- Drives clarity in ambiguous situations by defining scope, risks, and measurable outcomes.
- Balances speed of delivery with long-term scalability and maintainability.
- Influences cross-functional stakeholders through data-driven reasoning.
- Upholds and reinforces engineering and governance standards across the team.
- Deep expertise in data modeling and scalable architecture patterns.
- Strong experience delivering production-grade data products and reporting solutions.
- Strong understanding of performance optimization across storage, transformation, and visualization layers.
- Experience implementing data quality, lineage, and observability frameworks.
- Proficiency with Git workflows, branching strategies, and code quality enforcement.
- Experience designing and maintaining CI/CD pipelines for data platforms.
- Working knowledge of infrastructure-as-code automation and governance.
Responsibilities
- Architect scalable data pipelines, semantic models, and integrated reporting frameworks.
- Design analytics solutions that connect storage, transformation, and visualization layers.
- Lead adoption of Git-based workflows, code review standards, and branching strategies.
- Implement and improve CI/CD pipelines for automated testing and deployment of data assets.
- Leverage infrastructure-as-code practices to manage environments consistently.
- Establish best practices for performance optimization, governance, and monitoring.
- Partner with business leaders to define standardized KPIs and metrics.
- Mentor engineers in engineering rigor, deployment discipline, and solution design.
Benefits
- retirement savings plan (with company match)
- paid vacation, holiday and personal days
- paid caregiver/parental and medical leave
- health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
