Senior Data Engineer, Proprietary Research
Core
Design and build Data & AI Platform to transform structured and unstructured data into actionable insights for investment professionals.
Role type
Senior IC data engineer (AI/ML infrastructure)
Builds
Data pipelines, reusable software components, libraries, APIs, and cloud-based infrastructure
Domain
Financial services / Alternative data / AI
Deliverable
production ML models
Required skills
Python, Spark, cloud platforms (AWS/GCP/Azure), workflow orchestration (Airflow), system design, API development, data governance
Preferred skills
LangGraph, LangChain, embedding models, vector databases, graph databases, AI advancements
Technologies
Spark, Airflow, AWS, Google Cloud Platform, Azure, LangGraph, LangChain
Responsibilities
Design and build big data pipelines for ingestion, transformation, and delivery of AI-ready data assets; Develop reusable software components, libraries, and APIs; Implement data quality, lineage, and governance controls; Build scalable, AI-native, cloud-based infrastructure; Optimize system performance, cost, and reliability; Explore emerging Data and AI technologies and convert ideas into business deliverables; Partner with investment, research, and data science teams to turn research needs into production-ready data products; Deploy LLM-based tools and build agentic workflows.
Seniority
Senior, hands-on IC
