Senior Developer II - Data Science & Enterprise Data Platform Development

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Childcare support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Application

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Deadline

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About this role

Senior Developer II - Data Science & Enterprise Data Platform Development New York, NY Neuberger is seeking a Senior Developer II to help architect and scale the firm's enterprise data platform. Specifically, this role sits at the intersection of AI, Data Science, and Enterprise Data Management. This is a high-visibility, hands-on engineering role at the heart of the firm's data-driven transformation, offering the opportunity to shape platform strategy, influence technical direction, and contribute meaningfully to research and data science enablement. This role is ideal for a highly motivated and technically proficient professional looking to contribute to the firm's data and analytics vision, while furthering their expertise in modern data technologies, cloud-based solutions, and applied data science methodologies. Responsibilities: Build and maintain advanced data engineering solutions - spanning data ingestion, storage, processing, and publication - with a focus on enabling modern AI and analytics workflows. Contribute to the design, development, and deployment of the enterprise data platform, ensuring it meets the scalability, performance, and security needs of the business. Implement and optimize cloud-based data platforms with a focus on leveraging tools like Snowflake, Databricks, and big data ecosystem technologies to drive data transformation and analytics for AI enablement. Partner with senior platform leadership to align development initiatives with the firm's strategic data management roadmap and enterprise architecture. Evaluate and implement emerging technologies and tools to enhance the capabilities of the platform, ensuring the firm remains at the forefront of data innovation. Contribute to data quality, observability, and monitoring frameworks that ensure

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