Neuberger's Private Markets Technology group is seeking a Senior Data Engineer to design and scale the data infrastructure supporting private equity and private debt strategies. This role sits at the intersection of data engineering and investment operations, and you will work directly with fund administration, operations, and analytics teams to model, move, and govern data across a complex, multi-administrator environment spanning multiple fund structures and jurisdictions. Our data landscape is operational and non-standard by nature, sourced from GP notices, fund administrators, data rooms, and bespoke operational workflows rather than exchange feeds or market data vendors. You will develop and optimize data models in the data warehouse for analytics, reporting, and operational workloads; design, build, and maintain scalable ETL/ELT pipelines that ingest and normalize large volumes of structured and unstructured data from multiple fund administrators with inconsistent booking conventions across diverse fund structures and jurisdictions; implement data quality checks, monitoring, and alerting to ensure reliability and accuracy of data across the platform. You will collaborate with users and development teams to understand data requirements and deliver well-modeled, accessible datasets; optimize query performance, pipeline throughput, and storage costs; contribute to data governance practices including documentation, lineage tracking, cataloging, and access controls with a focus on golden record ownership and how upstream data quality propagates downstream. The role may inv

Neuberger's Private Markets Technology group is seeking a Senior Data Engineer to design and scale the data infrastructure supporting private equity and private debt strategies. This role sits at the intersection of data engineering and investment operations, and you will work directly with fund administration, operations, and analytics teams to model, move, and govern data across a complex, multi-administrator environment spanning multiple fund structures and jurisdictions. Our data landscape is operational and non-standard by nature, sourced from GP notices, fund administrators, data rooms, and bespoke operational workflows rather than exchange feeds or market data vendors. You will develop and optimize data models in the data warehouse for analytics, reporting, and operational workloads; design, build, and maintain scalable ETL/ELT pipelines that ingest and normalize large volumes of structured and unstructured data from multiple fund administrators with inconsistent booking conventions across diverse fund structures and jurisdictions; implement data quality checks, monitoring, and alerting to ensure reliability and accuracy of data across the platform. You will collaborate with users and development teams to understand data requirements and deliver well-modeled, accessible datasets; optimize query performance, pipeline throughput, and storage costs; contribute to data governance practices including documentation, lineage tracking, cataloging, and access controls with a focus on golden record ownership and how upstream data quality propagates downstream. The role may inv