Software Engineer, Data
About The Position
RA Capital is seeking an early-career software engineer to help build and operate AI-enabled data platforms and intelligent data workflows for healthcare data. This role goes beyond traditional ETL. You will build healthcare data pipelines as well as AI-driven workflows and data applications that connect large language models with enterprise data and tools. This includes developing governed data access layers where LLMs translate user intent into structured queries and building agentic workflows that retrieve information, invoke tools, orchestrate multi-step tasks, and support self-service analytics, discovery, and decision-making.
Requirements
- Strong software engineering fundamentals and an interest in building production systems.
- Strong foundation in data engineering and data modeling.
- Proficiency in Python and SQL; experience with Spark and Databricks is preferred.
- Experience building or integrating APIs, services, or workflow-oriented applications.
- Hands-on experience with, or a strong interest in, LLM-powered applications, AI agents, or agentic workflows.
- Familiarity with LLM tool use, structured outputs, orchestration patterns, GraphQL, or other API-based data access methods.
- Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience. A master’s degree is preferred.
- Up to three years of experience in software engineering, data engineering, or a related role.
- Must be based in the Boston area and available to work a hybrid schedule from our Boston office.
- Must be authorized to work in the United States without current or future sponsorship.
Nice To Haves
- Experience working with healthcare or other regulated datasets is a plus.
- Strong communication, ownership, and collaboration skills.
Responsibilities
- Design and maintain scalable, production-grade data pipelines for healthcare datasets, including claims and provider data.
- Build and optimize data models to support analytical and AI-driven workloads.
- Develop high-quality Python and SQL code for data standardization, reconciliation, validation, and application workflows.
- Build AI-powered data workflows and applications that connect LLMs with enterprise data, APIs, and internal tools.
- Develop agentic workflows that retrieve data, call tools, execute multi-step tasks, and automate data and research processes with appropriate guardrails.
- Build and improve AI-native data access frameworks, including LLM-to-SQL and LLM-to-GraphQL patterns and reusable interfaces for structured data access.
- Integrate AI workflows with APIs and tool interfaces to enable reliable interaction with enterprise systems.
- Collaborate with AI/ML engineers, healthcare data vendors, and internal stakeholders to translate user needs into production-ready data and AI solutions.
- Implement monitoring, validation, observability, and governance for data pipelines and AI workflows.
- Document data architectures, AI-enabled workflows, and production systems.
Benefits
- Employer-paid monthly premiums for health, dental, and vision coverage
- Wellness benefits and programs to support physical and mental well-being
- Resources and perks that enhance work-life balance and financial security
- performance-based bonuses
- retirement contributions
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
