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# AI Data Engineer

- **Company:** Cortica Inc.
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cyber Security, Data Security, Dataspaces, Data Systems, Python (Programming Language), Operational Databases, Software Deployment, Software Engineering, SQL Databases, Scripting, Build Management, Kubernetes, Data Management, Data Pipelines
- **Published:** August 1, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-ai-data-engineer-san-diego-ca--102d3ab2-c114-4618-aaa3-c8db61096ba6

## About the Role

* You have 5+ years of experience designing and building production data pipelines.
 * You bring 2+ years of experience working with AI-first development workflows.
 * You're fluent in Python and SQL at an advanced level
 * You bring 4+ years of experience with the following AWS and/or Azure big data services
 * You have 2+ years of experience with orchestration frameworks
 * You possess application development literacy to lightweight web tooling to complement data products., Amazon Web Services (AWS), Artificial Intelligence (AI), Big Data, Childcare, Clinical Support, Compensation and Benefits, Data Management, Data Modeling, Data Science, Ecosystems, Financial Operations, Financial Planning, Financial Reporting, Healthcare, Information/Data Security (InfoSec), Literacy, Machine Tool, Microsoft Windows Azure, Operational Strategy, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Software Development

## Description

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. You'll work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency.

 * Own projects end-to-end: From stakeholder requirements through production deployment
 * Design and build data pipelines that are reliable, scalable, and maintainable
 * Develop and evolve data models that support clinical, financial, and operational reporting
 * Use AI-assisted development as a core part of your daily workflow
 * Build lightweight internal tools and dashboards where pipelines alone aren't enough
 * Ensure data security and compliance across all work
 * Collaborate across teams and document decisions so others can build on your work


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