Data Engineer
Core
Build and maintain robust, scalable data pipelines and architectures to power reporting, analytics, and data-driven decision-making for a global health tech platform.
Role type
Data Engineer
Builds
Reliable reporting pipelines, data models, and data infrastructure for analytics and business stakeholders
Domain
Health tech / Drug development ecosystem
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, DBT, ETL tools (Airflow), data modeling, data architecture, SQL (MySQL, PostgreSQL), NoSQL (DynamoDB), data visualization (Tableau), software development lifecycles, agile methodologies
Preferred skills
Cloud-native architecture, Kubernetes, Terraform, CI/CD (GitHub Actions), knowledge graphs (Neo4j)
Technologies
AWS, Python, FastAPI, Pydantic, SQLAlchemy, Angular, Headless Wagtail, WordPress, Docker, Docker Compose, GitHub Actions, Renovate, ruff, Poetry, pre-commit, Neo4j, MySQL, DynamoDB, Tableau, HubSpot, Google Analytics
Responsibilities
Design and build scalable data pipelines for analytics and reporting; Partner with stakeholders to translate reporting needs into data solutions; Ensure compliance with healthcare data management standards; Improve data reliability, observability, and documentation; Audit and improve existing data architecture; Lead cross-functional initiatives to define next-generation data platform architecture
Seniority
Mid-level, hands-on IC