Data Solution Engineer

Summary

RA Capital Management is a leading provider of capital and services to innovators in the biomedical and climate technology sectors. The Data Solutions Engineer will play a critical role in shaping data-driven investment decisions, designing and delivering modern data solutions that enhance operational efficiency and support strategic research.

Responsibilities

• Design and deliver end-to-end data and analytics solutions, from initial concept and MVP through production deployment
• Build dashboards and analytical applications that provide actionable insights to investment and business stakeholders
• Develop and manage scalable data pipelines in partnership with the Data Engineering team, while independently owning lighter-weight workflows and integrations
• Support and administer modern cloud data platforms including Databricks, Snowflake, Sigma Computing, and Dash Enterprise
• Partner directly with business teams to identify data opportunities, gather requirements, scope projects, and translate business needs into technical implementations
• Prototype and evaluate new AI-enabled workflows, agents, and automation techniques to improve data accessibility and operational efficiency
• Apply and uphold data governance standards including data cataloging, metadata management, classification, and documentation best practices
• Monitor platform performance, manage user access, and help optimize the reliability and scalability of our data ecosystem
• Document technical processes, data models, and project outcomes to ensure maintainability and knowledge sharing across the organization
• Contribute to a collaborative, mentorship-driven engineering culture focused on continuous improvement and technical excellence

Skills

• 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
• Must be eligible to work in the US without sponsorship now or in the future, no transfers
• 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
• Experience building MVPs, proofs-of-concept, or rapidly iterating on technical solutions
• Familiarity with APIs, integrations, and modern software engineering practices is a plus
• Excellent English communication skills with the ability to work effectively across technical and non-technical teams
• Strong problem-solving mindset with a high degree of curiosity and ownership
• Ability to independently manage projects while balancing multiple priorities in a fast-paced environment
• Comfortable navigating ambiguity and identifying practical, scalable solutions
• Strong attention to detail in documentation, governance, and operational reliability
• Healthcare, biotechnology, life sciences, and/or financial services experience strongly preferred
• Exposure to AI-assisted development tools and agentic workflows (e.g., Claude Code, Codex, MCPs, automation agents) strongly preferred

Qualifications

Must Haves

• 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
• Must be eligible to work in the US without sponsorship now or in the future, no transfers
• 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
• Experience building MVPs, proofs-of-concept, or rapidly iterating on technical solutions
• Familiarity with APIs, integrations, and modern software engineering practices is a plus
• Excellent English communication skills with the ability to work effectively across technical and non-technical teams
• Strong problem-solving mindset with a high degree of curiosity and ownership
• Ability to independently manage projects while balancing multiple priorities in a fast-paced environment
• Comfortable navigating ambiguity and identifying practical, scalable solutions
• Strong attention to detail in documentation, governance, and operational reliability

Nice to Haves

• Healthcare, biotechnology, life sciences, and/or financial services experience strongly preferred
• Exposure to AI-assisted development tools and agentic workflows (e.g., Claude Code, Codex, MCPs, automation agents) strongly preferred

Benefits

• Performance-based bonuses
• A comprehensive benefits package that includes health insurance, retirement contributions, and paid time off
• 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