Note: The job is a remote job and is open to candidates in USA. The company is a rapidly growing SaaS provider that helps healthcare, public sector, and human services organizations transform complex data into actionable insights. The Lead Data Engineer will evolve and scale a customer-facing analytics platform by building data pipelines, shaping architecture, improving platform reliability, and mentoring engineers.

Responsibilities

• Design, build, and maintain scalable data pipelines that power analytics products and customer reporting
• Lead architecture discussions and make recommendations around data platform improvements
• Develop and optimize data models used across reporting and analytics systems
• Integrate, onboard, and transform new customer data sources
• Troubleshoot customer-facing data issues and drive long-term solutions
• Improve reliability, automation, observability, and operational efficiency across the data platform
• Lead complex technical initiatives from planning and design through deployment and support
• Establish engineering standards, best practices, and technical frameworks
• Mentor and guide other engineers while helping elevate overall team capabilities
• Influence platform roadmap decisions and the future direction of the data engineering function

Skills

• 7-10+ years of software or data engineering experience
• 5+ years of hands-on data engineering experience
• Expert-level SQL skills
• Strong Python experience focused on data processing and pipeline development
• Deep experience building and supporting large-scale ELT/ETL data pipelines
• Strong data modeling and data architecture expertise
• Experience with workflow orchestration tools such as Airflow, Dagster, or similar platforms
• Experience working with large, complex datasets and varying levels of data quality
• Proven technical leadership experience mentoring engineers or leading small engineering teams
• Ability to evaluate technical tradeoffs and make architecture recommendations
• Strong communication skills with both technical and non-technical stakeholders
• Healthcare or healthcare analytics experience
• Dbt experience
• PostgreSQL expertise
• Experience across multiple database technologies
• Background modernizing or migrating enterprise data platforms
• Experience supporting customer-facing analytics products

Benefits

• Fully remote work environment
• Potential long-term path into engineering leadership and people management

Company Overview

Company H1B Sponsorship