Senior Software Engineer

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. Senior Software Engineer – Data Location: Remote (United States) Company Stage of Funding: Profitable Growth-Stage Healthcare Technology Company Office Type: Fully Remote Salary: $140,000–$180,000 Base + 10–20% Bonus Company Description We're representing a profitable, founder-led healthcare technology company that powers data infrastructure for some of the largest healthcare systems in the world. Their platform helps hospitals, health systems, consulting firms, and supply chain organizations manage procurement, product data, and operational workflows more efficiently through sophisticated data engineering and AI-powered solutions. Unlike many startups, the company has been profitable since inception and continues to experience rapid growth. Their engineering team operates remotely across the United States, solving large-scale data challenges that directly impact healthcare operations and supply chain efficiency across the industry. What You Will Do Design, build, and maintain scalable ETL and ELT pipelines that process complex healthcare supply chain data. Develop data platforms that ingest, transform, and enrich structured and unstructured datasets from a variety of enterprise sources. Architect and optimize AWS-based data infrastructure with a focus on reliability, scalability, and cost efficiency. Build production-grade LLM-powered workflows for entity extraction, normalization, classification, matching, and enrichment. Design evaluation systems, prompting frameworks, guardrails, and monitoring solutions that improve AI reliability and performance. Integrate machine learning models into production data workflows, including training pipelines, batch processing, inference systems, and monitoring. Partner closely with Product, Engineering, and Data Operations teams to deliver data solutions that support business and customer needs. Develop tooling that enables domain experts to review, validate, and continuously improve data quality. Drive improvements in pipeline performance, observability, testing, and operational excellence. Mentor engineers and contribute to architectural decisions, code reviews, and engineering best practices. Ideal Background 4+ years of professional software or data engineering experience, including at least 3 years focused on data engineering. Strong Python and SQL expertise with experience building production-grade data platforms. Experience designing and operating large-scale ETL/ELT systems and workflow orchestration frameworks. Hands-on experience with AWS services such as S3, Glue, Athena, Lambda, Redshift, or related cloud-native data technologies. Strong understanding of data modeling, schema design, data warehousing, and data quality practices. Experience integrating LLMs, AI models, or machine learning workflows into production systems. Familiarity with prompt engineering, evaluation frameworks, structured outputs, caching strategies, and AI system reliability. Ability to work independently in a remote environment while collaborating effectively across technical and non-technical teams. Strong communication skills and ability to explain technical concepts clearly. Preferred Experience within healthcare, healthcare supply chain technology, healthcare data platforms, or enterprise SaaS environments. Experience with Rust for high-performance data processing applications. Familiarity with master data management, data governance, and large-scale data quality initiatives. Experience with NLP, information extraction, entity resolution, record linkage, embeddings, retrieval systems, or RAG architectures. Experience working with large-scale web scraping, data ingestion, or heterogeneous data sources. Familiarity with MLOps and LLMOps tooling, including prompt versioning, model evaluation, observability, and vector databases. Experience with CI/CD, infrastructure-as-code, containerization, and production data platform operations. Startup experience and comfort working in highly autonomous environments. Compensation and Benefits Base salary: $140,000–$180,000. Performance bonus: 10–20% of base salary. 100% employer-paid medical, dental, and vision coverage. 401(k) matching program. Flexible and unlimited PTO. Fully remote U.S.-based role. Regular team offsites and in-person collaboration events. Opportunity to join a profitable, high-growth company with strong product-market fit. Significant ownership over core data platform architecture and AI-powered data initiatives. Direct impact on healthcare supply chains and operational efficiency across major health systems. Collaborative, low-bureaucracy engineering culture focused on autonomy, craftsmanship, and long-term growth. Salary Range: $140,000-$180,000 base.