Company Name: Vector Health

Job Details: Be,an,Early,Applicant,Hiring,Remotely,in,United,States,Remote,Junior

Job Url: https://builtin.com/job/data-platform-engineer/7906703

Job Description: About Vector HealthVector Health helps rural hospitals unlock financial aid for their patients by identifying medical mutual aid opportunities through non-profits. Our platform ingests sensitive patient data from hospitals, applies patients for funding, and manages the flow of reimbursements. We’re building a scalable, secure, and high-impact healthcare infrastructure product that directly supports patient outcomes.About the RoleWe’re looking for a Data Platform Engineer to join our early-stage team and take ownership of the data backbone of our product. This is a hybrid role that combines data engineering, analytics, and software development.Your focus will be on building pipelines that ingest and structure hospital data, ensuring quality and compliance, and enabling insights for hospitals, patients, and internal teams. But unlike a pure data role, you’ll also work directly in our full stack environment (Laravel, Vue, Python, AWS) to make sure data flows seamlessly into APIs, product features, and user experiences.This is a great fit if you enjoy working across boundaries — architecting secure data systems, writing analytics queries, and contributing directly to the product.What You’ll DoOwn the end-to-end data platform: ingestion pipelines, transformations, models, and analyticsBuild scalable, HIPAA-compliant ETL/ELT pipelines using Python, SQL, and AWS servicesDesign and maintain data models and schemas that power both product features and reportingWrite and optimize queries, metrics, and dashboards to support hospitals and internal teamsDevelop data validation and monitoring systems to ensure reliability and trustworthinessCollaborate with full stack engineers to integrate pipelines and analytics into our Laravel/Vue productContribute directly to the product codebase where data systems intersect with APIs and UI featuresTranslate operational needs into data-driven features that scale with our customersParticipate in architectural discussions on performance, scalability, and securityWhat We’re Looking For2–5 years of professional experience in data engineering, analytics, or software engineeringStrong Python skills for data processing, pipelines, and automationDeep knowledge of SQL and database query optimizationExperience designing and maintaining data pipelines, schemas, and ETL workflowsFamiliarity with backend frameworks (Laravel/PHP, Node, or similar) and willingness to work across the stackUnderstanding of cloud environments (AWS preferred) and version control (Git)Comfortable working in a fast-moving, collaborative, early-stage environmentBonus if you have:Experience with healthcare data (FHIR, HL7)Familiarity with data lakes, warehouses, or BI toolsApplied statistics or ML experience to extract insights from patient/hospital dataExposure to DevOps practices for data (CI/CD, monitoring, infrastructure as code)Why Join Us?Own the data platform of a mission-driven healthcare startup from the ground upWork on a product that directly improves access to healthcare for underserved communitiesCollaborate with a small, ambitious, and passionate team where your contributions matterStraddle data engineering, analytics, and full stack development in one roleGrow quickly while solving challenging technical and real-world problemsIf you’re excited about building the data backbone of a healthcare platform while working across the full stack, we’d love to hear from you.