Data Solution Engineer

Imagine if you had the skills, knowledge, and teammates to both understand the root of the world’s most pressing problems and build the technologies and companies best positioned to solve them. RA Capital has done exactly that for more than two decades, backing bold ideas in medicines to further human health and now expanding into Planetary Health to improve how efficiently we utilize the world’s precious resources.

RA Capital is among the leading providers of capital and services to the most promising innovators in the world. We invest flexibly—seed to IPO and beyond, anywhere in the world—with $10 B+ under management and a culture that prizes curiosity, rigor, and collaborative debate. We are investors who not only fund companies but get elbow deep in building them. From helping them recruit talent to helping them recruit patients for their studies to helping match them to strategic partners and even going to Washington to win reforms, RA Capital’s large team has people with nearly every relevant expertise one might need to turn an idea into a cure that actually helps people.

If you live for first-principles problem-solving with great colleagues, thrive on complexity, and want to do meaningful work that ripples across industries and ecosystems, you’ll feel at home at RA Capital. Here, questions are welcomed, ideas are tested, and victories are shared. Even our lawyers are creative and engaging. And don’t get us started on our compliance team’s wicked sense of humor; nothing about what we do is boring.

Are you ready to bring your creativity, discipline and collaborative spirit to help us invent the future? Join us and you’ll collaborate daily with investors, founders, physicians, biologists, engineers, economists, and reform advocates who think in systems and act with urgency.

Join us to invent a happier, healthier, more productive future - and have fun doing it.

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. You’ll design and deliver modern data solutions spanning analytics dashboards, cloud data platforms, lightweight pipelines, and AI-assisted workflows that support both strategic research and day-to-day business operations.

You’ll join a collaborative, technically ambitious environment where curiosity, experimentation, and ownership are highly valued — and where the systems you build directly contribute to funding innovations that can improve and extend human lives.

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

• 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

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

• 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