Senior Developer II - Data Science & Enterprise Data Platform Development

Neuberger Berman•New York, NY

18h•$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.

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.