Data Solution Engineer

RA Capital is a leading provider of capital and services to the most promising innovators in medicines and planetary health. With over two decades of experience, we support companies from seed to IPO and beyond, investing $10 B+ worldwide. We pride ourselves on curiosity, rigor, and collaborative debate, and our large team deeply engages in building and scaling these ventures. Role Overview As a Data Solutions Engineer, you will shape how data powers investment decisions across breakthrough biomedical and climate technologies. You will blend data engineering, analytics, AI-enabled workflows, and business strategy to create scalable solutions that turn complex datasets into actionable insights. You will partner with investment, operations, and business teams to identify data and automation opportunities, design and deliver modern data solutions—including analytics dashboards, cloud data platforms, lightweight pipelines, and AI-assisted workflows—and support both strategic research and day‑to‑day operations. Key Responsibilities Design and deliver end‑to‑end data and analytics solutions from concept to production. Build dashboards and analytical applications that provide actionable insights to investment and business stakeholders. Develop and manage scalable data pipelines with the Data Engineering team while independently owning lighter‑weight workflows and integrations. Support and administer cloud data platforms such as Databricks, Snowflake, Sigma Computing, and Dash Enterprise. Partner with business teams to identify data opportunities, gather requirements, scope projects, and translate 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 cataloging, metadata management, classification, and documentation best practices. Monitor platform performance, manage user access, and help optimize the reliability and scalability of the data ecosystem. Document technical processes, data models, and project outcomes to ensure maintainability and knowledge sharing. 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 with modern cloud‑based data platforms and analytics tooling. Healthcare, biotechnology, life sciences, and/or financial services experience strongly preferred. 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. 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. Compensation RA Capital values 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, including health insurance, retirement contributions, and paid time off. Total Rewards 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. Massachusetts base pay range: $120,000 – $180,000 USD. RA Capital is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. If you require an accommodation during the interview process, please contact View email address on click.appcast.io for assistance. #J-18808-Ljbffr RA Capital Management, LLC