Underdog.io is a modern recruiting platform. One of our hiring partners is looking to hire a Mid to Senior Level Full Stack Engineer. Our hiring partner is on a mission to supercharge the impact of donation dollars through software that enables foundations to build relationships with grantees and easily distribute and track their funds.

Shape the Future of AI in Healthcare

Join a mission-driven team building a groundbreaking clinical AI platform designed to accelerate innovation while prioritizing patient safety and data integrity. As a Software Engineer specializing in Data Infrastructure, you’ll architect scalable solutions to process petabytes of healthcare data, enabling AI developers to create transformative tools for global health challenges.

Key Responsibilities

• Design and optimize secure, auditable data pipelines to ingest and harmonize structured/unstructured healthcare data at scale (up to 25 PB).
• Collaborate cross-functionally with clinical informaticists, data scientists, and health system partners to resolve data quality/regulatory challenges.
• Build and maintain cloud-native ETL infrastructure using AWS, Azure, or GCP, with a focus on transparency, efficiency, and HIPAA compliance.
• Develop monitoring frameworks to surface data anomalies and operational insights for stakeholders.
• Simplify technical complexity into clear documentation and workflows for diverse audiences.

Required Qualifications

• 3+ years of Python development across full SDLC (design, testing, deployment, maintenance).
• Expertise in cloud platforms: Infrastructure-as-Code (Terraform), OLAP systems (Redshift/BigQuery/Snowflake), and containerization (Docker).
• SQL proficiency and experience with large-scale ETL pipelines.
• 2+ years collaborating with non-technical stakeholders to translate business needs into technical solutions.
• Problem-solving mindset: Combines analytical rigor with pragmatic execution in ambiguous environments.

Preferred Skills

• Healthcare data experience (PHI/HIPAA compliance, EHR systems).
• Background in NLP, OCR, or ML tools (Python ecosystem or cloud services).
• Startup experience and familiarity with data harmonization/QA processes.

Why Join Us?

• Impact at scale: Your work directly enables responsible AI development affecting patient outcomes worldwide.
• Cutting-edge tech stack: Build with modern cloud infrastructure and open-source ML tools.
• Growth culture: Continuous learning opportunities with leaders in health tech and clinical AI.
• Flexible collaboration: Remote-friendly environment with competitive compensation and benefits.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.