Data Solution Engineer

The role

You will design and deliver end-to-end data and analytics solutions to power investment decisions. You will work at the intersection of data engineering, analytics, AI-enabled workflows, and business strategy.

What you will do

• Design and deliver end-to-end data and analytics solutions from concept to production
• Build dashboards and analytical applications for investment and business stakeholders
• Develop and manage scalable data pipelines
• Support and administer cloud data platforms including Databricks, Snowflake, Sigma Computing, and Dash Enterprise
• Partner with business teams to identify data opportunities and translate needs into technical implementations
• Prototype and evaluate new AI-enabled workflows, agents, and automation techniques
• Apply and uphold data governance standards
• Monitor platform performance and manage user access
• Document technical processes, data models, and project outcomes
• Contribute to a collaborative, mentorship-driven engineering culture

Required qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related technical field
• 2–5 years of experience building data, analytics, or business intelligence solutions in a professional environment
• Experience working with modern cloud-based data platforms and analytics tooling
• Experience working in fast-paced, highly collaborative environments with multiple stakeholders
• Ability to work in a hybrid environment in our Boston office, 2-3 days onsite per week
• Strong proficiency in SQL and Python for analytics, data transformation, and pipeline development
• Experience with PySpark and distributed data processing frameworks
• Hands-on experience with Databricks, Snowflake, and AWS-based data infrastructure
• Proficiency with BI and analytics platforms such as Sigma Computing and Dash Enterprise
• Familiarity with orchestration, workflow automation, and lightweight ETL/ELT development
• Strong understanding of data modeling, data quality, and data governance best practices
• Curiosity and practical interest in applying AI, agents, and automation to data workflows and business problems

Nice to have

• Healthcare, biotechnology, life sciences, and/or financial services experience
• Familiarity with APIs, integrations, and modern software engineering practices
• Exposure to AI-assisted development tools and agentic workflows (e.g., Claude Code, Codex, MCPs, automation agents)

Benefits

• Performance-based bonuses
• 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
• Health insurance
• Retirement contributions
• Paid time off

Before you apply

• Must be eligible to work in the US without sponsorship now or in the future, no transfers

About the company

RA Capital is a provider of capital and services to innovators in medicines and Planetary Health. They invest flexibly with $10 B+ under management and have a culture of curiosity, rigor, and collaborative debate.