Senior Data Engineer

Senior/Principal Data Engineer

About Curative AI, Inc. Curative AI, Inc. is an ambitious innovative early‑stage startup revolutionizing the healthcare industry through cutting‑edge AI‑powered SaaS solutions. We are delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry‑transforming AI technology, intelligent automation, and deep data insights. We have achieved financial break‑even within our first year and have signed customer contracts for $30+M in projected 2025 revenues.

Headquartered in Bellevue/Seattle, we built a top‑notch tech team in the US and a talented offshore team. We are now scaling aggressively to add 100+ US employees in 2025 and aim for a $1B valuation within 18 months. This is an exceptional opportunity to join a proven product‑based AI healthcare company with solid revenue streams and explosive growth potential.

Curative AI, Inc. is seeking a highly skilled and experienced Senior/Principal Data Engineer for our rapidly growing company. Your role will shape the data infrastructure that powers our AI platform and tools, transforming healthcare management with RCM solutions that streamline documentation, accelerate claims processing, enhance clinical decision support, and more. You will collaborate across functions to design, build, and maintain data pipelines, ensure data quality and governance, and support data science and analytics teams.

• Design, build, and maintain data pipelines and data storage systems
• Develop and implement data quality and data governance processes
• Implement data security measures to protect sensitive information
• Monitor and troubleshoot data infrastructure issues
• Collaborate with data scientists and analysts to understand data needs and requirements

• Must be located in the Seattle Metro Region and able to work hybrid on‑site at our Bellevue location minimum three days per week
• Bachelor’s degree in Computer Science, Data Engineering, or a related field
• 7+ years of experience in data engineering or a related role
• Strong programming skills in Python and SQL
• Experience with cloud computing platforms such as AWS, Azure, and/or GCP
• Experience with data warehousing and data lake technologies
• Excellent understanding of data modeling and data architecture principles
• Strong problem‑solving and analytical skills
• Ability to work independently and as part of a team
• Health‑care experience, notably with RCM solutions, highly desired
• Public cloud experience (AWS, GCP, and/or Azure) desired
• Humble approach to learning, dedicated team player, and excited about innovation

• Base Salary Range: $155,000 – $210,000 per year (commensurate with experience)
• Target annual performance bonus
• Equity package:
  Generous equity participation in the company's future success
• Comprehensive benefits package including medical, dental, vision, life and AD&D insurance; paid time off and holidays
• Opportunity to work on cutting‑edge AI projects and impact company success
• Chance to shape AI strategy and innovation

Curative AI, Inc. is an Equal Opportunity Employer (EEO) and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, political affiliation, disability, genetic information (including family medical history), age, marital status, veteran status, or other non‑merit‑based factors. Curative AI, Inc. does not currently sponsor H1B visas and therefore candidates must be legally authorized to work in the United States on a full‑time basis without requiring current or future visa sponsorship.

Curative AI, Inc. is committed to creating a diverse and inclusive workforce. We value the unique perspectives and talents that each individual brings and are dedicated to providing an environment where all employees feel respected, valued, and empowered to reach their full potential. We encourage qualified individuals from all backgrounds to apply for our open positions.

Mid‑Senior level

Full‑time

Information Technology

Software Development