Senior Data Engineer
Senior Data Engineer
Boston, MA (Hybrid)
About the Opportunity
A well-established global investment organization is building next-generation data and AI capabilities that support investment, operations, and client-facing teams. With a substantial global footprint and a highly collaborative engineering culture, the firm is investing heavily in modern cloud data platforms, AI-enabled solutions, and enterprise-scale analytics.
This is an opportunity to join a highly visible engineering team working at the intersection of data engineering, cloud platforms, and applied AI. You'll contribute to the evolution of a modern data ecosystem while partnering closely with engineering, data, and business stakeholders to solve complex analytical and operational challenges.
What You'll Be Doing
- Design and develop scalable data pipelines ingesting and transforming data from a variety of internal platforms and external data sources.
- Build and optimize cloud-based data solutions that support reporting, analytics, AI, and business intelligence initiatives.
- Develop robust data models supporting complex investment, operational, and financial datasets.
- Partner with software engineers, data professionals, and AI teams to deliver high-impact solutions.
- Engineer and maintain data products using Python, SQL, and modern cloud technologies.
- Build and optimize workflows within a cloud-native data platform environment.
- Contribute to emerging AI initiatives, including semantic data layers, intelligent workflows, and agent-based solutions.
- Apply best practices around testing, scalability, maintainability, and data governance.
- Help drive the evolution of a modern enterprise data architecture supporting a rapidly growing business.
Desired Background
- 5+ years of professional experience in data engineering, analytics engineering, or related disciplines.
- Strong experience designing and building data warehouses and enterprise data platforms.
- Expertise in data modeling, dimensional modeling, and schema design.
- Hands-on experience with Snowflake or similar modern cloud data warehouse technologies.
- Strong Python development experience.
- Advanced SQL and database development skills.
- Experience integrating data through APIs and external sources.
- Familiarity with cloud-native ETL/ELT platforms.
- Experience operating within Agile engineering environments.
- Passion for solving complex technical problems and building scalable solutions.
Nice to Have
- Experience with AI/ML-enabled data platforms.
- Exposure to enterprise reporting and visualization tools.
- Familiarity with modern AI development tools, copilots, agent frameworks, or LLM-based solutions.
- Experience working in financial services, asset management, investment technology, or other highly data-driven industries.
- Experience collaborating with globally distributed teams.
FAQs
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