Senior AI Data Engineer

Cortica - Neurodevelopmental•Los Angeles, CA

10h•$160,000 - $200,000•Onsite

About The Position

Cortica is looking for a Senior AI Data Engineer to join its growing team! Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission! Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities. 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.

Requirements

5+ years of experience designing and building production data pipelines.
2+ years of experience working with AI-first development workflows.
Fluent in Python and SQL at an advanced level
4+ years of experience with the following AWS and/or Azure big data services
2+ years of experience with orchestration frameworks
Possess application development literacy to lightweight web tooling to complement data products.

Responsibilities

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