Senior Data Engineer

Second Wave Delivery Systems, LLC (SWDS) is determined to improve clinical outcomes in the United States while addressing the rising costs of healthcare. We are developing a technology-enabled, integrated system tailored to optimize value-based arrangements for payors and providers serving Medicare and Medicaid enrollees. Through an increased focus on primary and preventive care, we strive to provide patients with significantly better outcomes and satisfaction in each community we serve.

The Technology organization at SWDS is responsible for building the next generation of value-based healthcare management and optimization through a family of systems and the foundational technologies required to support SWDS’ ambitious mission. Predicated on the latest technologies and built upon a mantra of Engineering and Operational Excellence, we develop mission-critical applications and infrastructure quickly, reliably, and while having fun. We strive to grow, foster, and maintain an entrepreneurial, diverse, collaborative, and flexible team and structure. As a fully remote, fast-paced, and quickly growing organization, we are always looking for talented, passionate, and ambitious individuals who seek to solve exciting and challenging technology problems while having a transformative impact on US healthcare.

Core values and ways of working

• We are a tight group of engineers focusing on engineering and operational excellence while delivering high quality solutions to our clients and business partners
• We take great pride in our team and the products we deliver, and treat both with utmost respect and care
• We are firm believers in engineering high-quality, fault-tolerant systems that scale with business needs with minimal unforeseen disruption
• We value great work and great ideas, not ego. We're looking for talented individuals that are accustomed to working within a fast-paced environment and want to ship often to make an impact

Responsibilities

• Build and maintain scalable, high-performance data processing systems (batch and/or streaming)
• Lead data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable
• Design our data models for optimal storage and retrieval and to meet critical product and business requirements
• Contribute to tooling & standards to improve the productivity and quality of output across the company
• Work and consult with various non-technical stakeholders
• Participate in interviewing and onboarding of new team members

Job Benefits

• Health insurance
• Vision insurance
• Dental insurance
• Life insurance
• Simple IRA matching
• Paid time off

Minimum Qualifications

• 5+ years working in Data Engineering or Data Infrastructure on building Data Engineering Tools and Frameworks
• Expert knowledge of data structures and algorithms
• Strong experience developing in Python
• Experience with building and managing data pipelines
• Experience with data platform tools including dbt, Airbyte, BigQuery

Preferred Qualifications

• Demonstrated experience developing machine learning algorithms in the healthcare field
• Experience extracting and correlating medical findings from unstructured data such as PDF charts
• Experience with big data analysis tools such as Looker