Senior Software Engineer - Data Platform

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 technologies such as Snowflake, SQL Mesh, Temporal (or similar orchestration frameworks), Python, AWS, and relational databases.

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 both 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 the team's capacity, including hiring and onboarding new talent. Mentor and develop team members, ensuring continuous technical excellence and fostering an environment of learning and growth.

You possess a minimum of 5 years of experience in software engineering, with a specialization in data engineering, data modeling, and building systems integrations.

You have extensive experience in leading engineering teams, with a primary focus on technical leadership and achieving successful project outcomes.

You have in-depth knowledge of healthcare systems, particularly in working with EHRs and healthcare data management.