Senior Developer II - Data Science & Enterprise Data Platform Development

Neuberger Berman • New York, NY

20h • $140,000 - $180,000 • Hybrid

About The Position

Neuberger Berman is seeking a Senior Developer II to support the firm's enterprise data platform initiatives, with a particular focus on advancing its Data Science capabilities and platform development. This individual will play a crucial role in developing, optimizing, and maintaining the firm's data platform and supporting its broader data, analytics, and machine learning vision. This is an exciting opportunity for a highly motivated and technically proficient professional to contribute to the firm's data-driven innovation, quantitative research enablement, and operational excellence. 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.

Requirements

• Minimum of 10+ years of related experience in platform development or data engineering roles.
• Bachelor’s degree preferred, with a Master’s or equivalent experience in a relevant field being a plus.
• Demonstrated experience in data engineering and ELT development, including designing and building robust, scalable data pipelines that handle large volumes of both structured and unstructured data.
• Proven hands-on experience with technologies such as Java, Kafka, Spark, Snowflake, and Data Bricks.
• Familiarity with Python-based data science libraries (e.g., scikit-learn, pandas, NumPy, PyTorch, or TensorFlow) and the ability to collaborate effectively in Python-centric data science environments.
• Hands-on experience with Apache Airflow or similar orchestration and scheduling tools.
• Strong foundation in technologies for data ingestion, storage, processing, and analytics.
• Proficiency in cloud deployment models and platforms like AWS, Azure, or Google Cloud.
• Demonstrated ability to implement scalable data pipelines and manage large-scale data systems.
• Familiarity with enterprise data governance, data security, and compliance best practices.
• Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders.
• Highly collaborative approach with the ability to work in dynamic, fast-paced environments.
• Ability to identify and solve complex problems, leveraging emerging technologies to drive innovation and operational efficiency.
• Ability to work independently while fostering a collaborative team environment.
• Effective at communicating technical concepts — including data science workflows — and strategic priorities to a wide range of audiences.
• Highly driven and results-oriented, with a passion for delivering high-impact solutions at the intersection of data engineering and applied data science.
• Neuberger Berman is unable to offer visa sponsorship for this position. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Responsibilities

• 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, Data Bricks, and Big Data Ecosystem technologies to drive data transformation and analytics.
• Support advanced data engineering solutions, including data ingestion, storage, processing, and publication, with a focus on enabling modern AI and analytics capabilities.
• Work closely with the Lead Technologist II to align platform development initiatives with the firm’s strategic data management roadmap and architecture.
• Partner with cross-functional teams to ensure the successful integration of the data platform with other enterprise systems, enabling seamless data flow and usability.
• Evaluate and implement emerging technologies and tools to enhance the capabilities of the platform, ensuring the firm remains at the forefront of data innovation.

Benefits

• We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level