Software Engineering (remote)

Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. 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

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.

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.

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.

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.

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.

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 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.

Performance bonus: 10–20% of base salary.

100% employer-paid medical, dental, and vision coverage.

Flexible and unlimited PTO.

Fully remote U.Significant ownership over core data platform architecture and AI-powered data initiatives.