Staff Data Engineer

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 Staff Data Engineer with a deep understanding of healthcare data, including claims, clinical, patient-reported outcomes data, or bioinformatics, to design, build, and manage data pipelines for our health insurance clients. The ideal candidate is a lifelong learner with a proven ability to interpret complex health-related datasets. This role requires an expert in using Airflow to orchestrate ETL pipelines, ensuring the efficient, reliable movement of healthcare data across systems. A subject matter expert (SME) in health and bioinformatics data is essential for success in this role.  

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 infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms.  
• Apply health and bioinformatics subject matter expertise to ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing - including translating complex medical and biological concepts into actionable data requirements.  

 Skills needed to succeed:   

• BS in Computer Science, Bioinformatics, or another quantitative discipline with 10+ years working with Data and ETL Pipelines. 
• Experience with interpreting health, medical, or insurance data required.
• Experience working with some form of IaC like Terraform or Jenkins 
• Experience working with CI/CD like Github Actions. 
• Experience working with containerization, specifically related to Docker and Kubernetes. 
• Skilled in using data orchestration frameworks, specifically Airflow. 
• Expertise in Python and SQL within a professional environment.  

What We Offer:  

• A fun, team-oriented startup culture.  
• Generous stock options - we all get to own a piece of what we’re building.  
• Unlimited vacation days.  
• Flexible schedule that supports working from home.  
• Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.  
• Ample opportunities to learn and take on new responsibilities.  

We are an equal opportunity employer. 

Salary Range: $150,000-185,000 base salary annually. 
This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.