Data Solution Engineer
Role Overview
As a Data Solutions Engineer, you’ll play a critical role in shaping how data powers investment decisions across breakthrough biomedical and climate technologies. You’ll work at the intersection of data engineering, analytics, AI-enabled workflows, and business strategy to build scalable solutions that transform complex datasets into actionable insights. In this role, you’ll partner directly with investment, operations, and business teams to identify opportunities where data and automation can drive smarter decisions and operational efficiency.
Key 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
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
Key Requirements
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
Healthcare, biotechnology, life sciences, and/or financial services experience strongly preferred
Ability to work in a hybrid environment in our Boston office, 2-3 days onsite per week
Technical Requirements
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
Exposure to AI-assisted development tools and agentic workflows (e.g., Claude Code, Codex, MCPs, automation agents) strongly preferred
Additional Requirements
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
Pay and Benefits
Compensation RA Capital Management is committed to fair and equitable compensation practices. Pay for this position will be based on experience, skills, qualifications, and current market conditions. In addition to base salary (listed below), employees may be eligible for performance-based bonuses and a comprehensive benefits package that includes health insurance, retirement contributions, and paid time off. Total Rewards Benefits We take pride in offering a comprehensive employee benefits program as a key part of overall compensation. Our Total Rewards include: 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 We’re dedicated to helping our employees thrive professionally and personally.