Wellnecity is the platform for high performing health plans. We help self-insured employers, advisors, and vendors achieve cost savings, better benefit utilization, and improved member outcomes. If you are passionate about data and improving the US healthcare system, help us rewrite the rules leveraging our proprietary Smart Hub. The ideal candidate will thrive in a fast-paced entrepreneurial environment where your voice is expected to be heard.
The Staff Data Engineer will be pivotal in advancing Wellnecity's data platform. This hybrid role combines leadership and hands-on engineering to design and implement scalable data exchange solutions.
As a key contributor, you'll:
- Lead and grow a team of 2–3 engineers while directly architecting and building solutions.
- Shape the future of Wellnecity's healthcare data platform to process and exchange healthcare data including claims, enrollment, biometrics, invoice, and other related data.
- Collaborate closely with product and technology leadership to deliver impactful, scalable solutions for internal and external stakeholders.
This is an opportunity to work with cutting-edge cloud and data technologies while influencing strategic decisions in a fast-paced, entrepreneurial environment.
Key Responsibilities:
- Design & Build: Architect scalable ETL pipelines and data ingestion functionality for batch and real-time data ingestion workflows.
- Data Transformation: Create robust solutions for processing healthcare datasets (e.g., medical claims, pharmacy claims, enrollment, and biometrics).
- Application Development: Develop cloud-hosted microservices deployed as Google Cloud services, including Cloud Functions, Cloud Run, Pub/Sub, Tasks, and API Gateways
- DevOps & Automation: Ensure all applications are deployed through CI/CD pipelines and infrastructure automation with tools like GitHub Actions and Terraform.
- Technical Leadership: Mentor team members, review code, and uphold engineering best practices.
Required Experience:
- Expert level proficiency in Python programming.
- Experience designing and implementing event-driven architecture and microservices.
- Strong understanding of DevOps principles and hands-on experience with CI/CD pipelines using tools like GitHub Actions and Terraform.
- Familiarity with containerization (Docker) and cloud platforms (Google Cloud, preferred AWS/Azure are acceptable)
- Experience working with healthcare data, particularly with medical claims and/or pharmacy claims.
- Bachelor's degree in computer science, Engineering, or a related field or equivalent experience.
Nice-to-Have Experience:
- Experience working directly with FHIR, HL7, or any healthcare data exchange standard
- Experience with document-based data systems (MongoDB preferred)
- Experience building, implementing, or maintaining EMPI systems
Additional Requirements:
- Strong communication and design skills.
- Proven ability to deliver high-quality solutions in a fast-paced environment.
- Experience gathering and implementing requirements from business and technology stakeholders.