Senior Developer II - Data Science & Enterprise Data Platform Development

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 platform reliability and trust in the data at scale.
• Provide technical guidance and mentorship to junior engineers, helping elevate the broader team's capabilities and engineering standards.

Requirements:

• 7+ years of hands-on platform or data engineering experience, with a demonstrable track record of owning and delivering production-grade systems. Financial or investment management background is strongly preferred.
• Bachelor's degree is preferred, with a master's or equivalent experience in a relevant field being a plus.
• Demonstrated experience and proficiency across the modern data stack 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, Airflow, Databricks, Azure, dbt and OpenShift.
• Proficiency with Python and 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.
• Proficiency in cloud deployment models and platforms like AWS, Azure, or Google Cloud.
• 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.

Leadership:

• 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.

Work model


Location: New York City; hybrid with a minimum of two days per week in office.


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Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.

Compensation Details

The salary range for this role is $130,000-$180,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact View email address on click.appcast.io.

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