Lead Data Engineer

LEAD DATA ENGINEER (HEALTHCARE ANALYTICS PLATFORM)REMOTE (US)$175,000 - $200,000 BASE + BENEFITSThe OpportunityWe're partnering with a rapidly growing SaaS company that helps healthcare, public sector, and human services organizations transform complex data into actionable insights. They're seeking a Lead Data Engineer to play a key role in evolving and scaling a customer-facing analytics platform used to drive meaningful outcomes across healthcare and community programs.This is a highly impactful, hands-on technical leadership position for someone who enjoys solving complex data challenges, influencing architecture, mentoring engineers, and owning critical data systems from end to end.The role combines deep technical execution with strategic influence, making it ideal for a senior engineer who wants to shape the direction of a data platform while remaining close to the technology.The Engineering EnvironmentThe team operates in a collaborative, customer-focused environment centered around:Large-scale data ingestion and transformationCustomer-facing analytics and reporting solutionsModern ELT data pipelinesCloud-based data platforms and orchestration frameworksData modeling and architecture best practicesContinuous improvement, automation, and scalabilityCross-functional collaboration with Product, Analytics, Customer Success, and Implementation teamsWhat You'll Be Working OnDesign, build, and maintain scalable data pipelines that power analytics products and customer reportingLead architecture discussions and make recommendations around data platform improvementsDevelop and optimize data models used across reporting and analytics systemsIntegrate, onboard, and transform new customer data sourcesTroubleshoot customer-facing data issues and drive long-term solutionsImprove reliability, automation, observability, and operational efficiency across the data platformLead complex technical initiatives from planning and design through deployment and supportEstablish engineering standards, best practices, and technical frameworksMentor and guide other engineers while helping elevate overall team capabilitiesInfluence platform roadmap decisions and the future direction of the data engineering functionWhat We're Looking For7-10+ years of software or data engineering experience5+ years of hands-on data engineering experienceExpert-level SQL skillsStrong Python experience focused on data processing and pipeline developmentDeep experience building and supporting large-scale ELT/ETL data pipelinesStrong data modeling and data architecture expertiseExperience with workflow orchestration tools such as Airflow, Dagster, or similar platformsExperience working with large, complex datasets and varying levels of data qualityProven technical leadership experience mentoring engineers or leading small engineering teamsAbility to evaluate technical tradeoffs and make architecture recommendationsStrong communication skills with both technical and non-technical stakeholdersNice to HaveHealthcare or healthcare analytics experiencedbt experiencePostgreSQL expertiseExperience across multiple database technologiesBackground modernizing or migrating enterprise data platformsExperience supporting customer-facing analytics productsWhy This RoleLead-level scope with significant technical ownership and influenceOpportunity to shape the architecture and future direction of a growing data platformHighly visible work that directly impacts customers and end usersStrong balance of hands-on engineering and technical leadershipCollaborative, mission-driven environment focused on improving healthcare outcomesFully remote work environmentPotential long-term path into engineering leadership and people managementCompetitive compensation package and comprehensive benefitsThis is an opportunity for a senior data engineering leader who enjoys solving ambiguous problems, building scalable data solutions, influencing architecture decisions, and helping teams deliver trusted analytics products at scale.