Senior Developer II - Data Science & Enterprise Data Platform Development

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 13, 2026

Salary

$130K-$180K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

33% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

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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