Note: The job is a remote job and is open to candidates in USA. The client is a growing healthcare organization focused on improving care delivery and outcomes for underserved and medically complex populations. The Senior Data Engineer will design data architecture, build cloud-based data infrastructure, develop data pipelines, and enable analytics for operational and strategic decision-making.
Responsibilities
- Design and build scalable data warehousing and data engineering solutions in AWS
- Develop and maintain robust ETL/ELT pipelines using Python, SQL, and Apache Airflow
- Integrate data from a variety of internal and external systems, APIs, and third-party sources
- Help define data architecture, engineering standards, and best practices
- Optimize data models, storage, and performance to support analytics and reporting
- Partner with business and technical stakeholders to deliver data solutions that drive measurable outcomes
Skills
- • 5+ years of data engineering experience
- • Strong hands-on experience with AWS-based data platforms and cloud infrastructure
- • Proven success building and managing data pipelines in AWS
- • Deep experience with Apache Airflow
- • Strong Python and SQL skills
- • Experience designing, implementing, and supporting modern data warehouse environments
- • Ability to work independently and make architecture and technical design recommendations
- • Experience with Snowflake and dbt
- • Exposure to healthcare, health data, or regulated data environments
- • Familiarity with healthcare interoperability standards, claims data, EHR systems, or HIPAA requirements
Benefits
- 100% Remote (U.S. only, excluding California)
Company Overview