Senior Data Engineer

About this role

*This is a fully remote opportunity.*
Gradient AI:
Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.


About the Role:
We are seeking a Senior Data Engineer to lead the improvement and refinement of scalable data infrastructure, data platforms, and data architecture that power our predictive analytics solutions. This role focuses on building reliable, high-performance data pipelines and orchestration frameworks that enable efficient data movement across systems. The ideal candidate brings deep expertise in modern data platforms, an understanding of big data tools, and distributed systems, paired with experience working with complex healthcare datasets (e.g., claims or clinical data). You'll play a key role in shaping our data foundation, ensuring robustness, scalability, and operational excellence across the platform.


How you will make an impact:

• Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA).
• Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data.
• Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications.
• Build and maintain...