Our client is a leader in the US healthcare space and is looking for a Senior / Lead Data Engineer to build their internal data engineeringoperation from the ground up.
Responsibilities
- Design and implement a scalable data ingestion framework that can pull data from multiple client electronic health record (EHR) and related systems.
- Build reusable connectors and integration patterns to support a variety of clinical and healthcare platforms.
- Architect and maintain a unified, flexible data warehouse schema that can accommodate diverse and evolving data sources.
- Develop robust ETL/ELT pipelines with a strong focus on reliability, maintainability, and high data quality.
- Set up and manage monitoring, logging, and error-handling mechanisms across data workflows.
- Own projects end-to-end from technical design and implementation through documentation and final delivery.
- Partner with engineering leadership to shape milestones, delivery timelines, and cross-team dependencies.
Required Qualifications
- 5+ years of hands-on experience in data engineering, including successful delivery of complex data integration initiatives.
- Solid background in modern data warehouse architectures (e.g., Snowflake, Redshift, BigQuery or similar).
- Deep experience with API-based data ingestion and the development of custom data connectors.
- Proficiency with contemporary data pipeline tools and orchestration frameworks.
- Previous experience working with healthcare data or health-tech platforms.
- Demonstrated ownership mindset, strong self-direction, and ability to independently drive major projects to completion.
Preferred Qualifications
- Experience building multi-tenant and/or multi-source ingestion frameworks.
- Background in designing generalized or unified data models/schemas.
- Exposure to cloud infrastructure and CI/CD practices specifically for data platforms and pipelines.
Working Conditions
- 100% remote
- US Working Hours
- Independent Contractor
