Senior Software Engineer - Data Platform

What You'll Do

• Lead and Execute: Spearhead the Integrations Team in designing, developing, and scaling integrations with Electronic Health Records (EHRs) and other healthcare systems, fostering a strategic, long-term technical vision while ensuring robust execution capabilities.
• Technical Direction: Establish and guide the technical direction for integrations, including architectural decision-making, to guarantee scalable, efficient, and resilient solutions.
• Data Infrastructure: Architect and maintain reliable, scalable, and efficient data pipelines, ETLs, and ingestion systems. Develop and sustain a dynamic data infrastructure leveraging Snowflake, SQL Mesh, DBT, Temporal orchestration frameworks, Python, AWS, relational databases, containers, and Terraform.
• Data Modeling: Implement sophisticated data modeling solutions, contributing to the Medallion architecture to ensure high-quality, accessible data insights across various systems.
• Stakeholder Management: Collaborate extensively with internal and external stakeholders to gather requirements, communicate progress, and deliver exceptional integration solutions that meet complex healthcare needs.
• Project Management: Drive effective project management, emphasizing meaningful prioritization of tasks, balancing technical debt, new feature development, and stakeholder requirements.
• Team Growth: Lead initiatives to expand team capacity, including hiring and onboarding new talent. Mentor and develop team members, ensuring continuous technical excellence and fostering an environment of learning and growth.

Who You Are

• Minimum 5 years of experience in software engineering, specializing in data engineering, data modeling, and systems integrations.
• Extensive experience leading engineering teams with a primary focus on technical leadership and successful project outcomes.
• In-depth knowledge of healthcare systems, particularly working with EHRs and healthcare data management.
• Hands-on expertise with Snowflake, SQL Mesh, Temporal, Medallion architecture, Python, AWS, and relational databases.
• Proven track record building and optimizing ETLs, data ingestion pipelines, and data transformation processes.
• Excellence in managing relationships with internal and external stakeholders, ensuring alignment and transparency throughout project lifecycles.
• Strong project management capabilities with talent for prioritizing and managing competing demands effectively.