State Street is looking for a Data Engineer to design and implement data models across relational, graph, and lakehouse systems using AWS RDS, AWS Neptune, and Databricks, and contribute to AI enablement by building GraphRAG pipelines
Requirements
- Strong SQL and schema design for AWS RDS (PostgreSQL/MySQL)
- Hands-on experience in using one of the Data Platforms (Databricks/snowflake)
- Familiarity with GraphRAG concepts, embeddings, and vector search
- Programming in Python for data pipelines and API integration
- Experience with LangChain or LlamaIndex for RAG workflows
- Knowledge of graph algorithms, entity linking, and semantic search
- Exposure to OpenSearch, FAISS, or Databricks Vector Search
Responsibilities
- Design relational schemas in AWS RDS and graph models in AWS Neptune/Neo4J
- Develop warehouse/lakehouse schemas Databricks/Snowflake for analytics and ML
- Implement graph-based retrieval and integrate with vector search for AI use cases
- Generate embeddings and manage hybrid retrieval pipelines (graph + vector)
- Build ETL/ELT workflows using Databricks/Snowflake, Airflow, AWS Glue
- Tune queries and optimize storage for Neptune, RDS, and Delta Lake
- Work with data scientists and AI engineers to support knowledge graph and RAG workflows
Other
- 3–5 years of experience in data engineering or similar roles
- Employees are eligible to participate in State Street’s comprehensive benefits program
- Inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks
- Equal Opportunity Employer, considering all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law
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