Data Engineer, Databricks
State Street
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How this pay compares to similar roles
This role pays less than 89% of similar roles. Most pay $152,903–$198,000 — the shaded band above. At the midpoint, this role pays about $134k versus about $175k for comparable roles.
Based on 240 similar postings.
Employer
State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody
State Street currently has 168 open roles on FindRole.
Listed pay typically runs $120,000–$188,750 across 166 roles with salary data.
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At a glance
State Street’s cyber architecture & engineering team is seeking a Data Engineer to design and implement data models across relational, graph, and lakehouse systems using AWS RDS, AWS Neptune, and Databricks. This role involves building GraphRAG pipelines for intelligent search and LLM-based applications, collaborating with senior engineers and AI teams to ensure scalable and secure solutions. Key responsibilities include designing schemas in AWS RDS and Neptune, developing warehouse/lakehouse models in Databricks Delta Lake, implementing ETL/ELT workflows using PySpark, Airflow, or AWS Glue, and optimizing data storage and retrieval processes. The ideal candidate has 3-5 years of experience in data engineering with strong SQL skills, proficiency in AWS Neptune and graph modeling, and familiarity with GraphRAG concepts and vector search. Additional preferred skills include knowledge of LangChain or LlamaIndex for RAG workflows and exposure to OpenSearch, FAISS, or Databricks Vector Search.
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