Senior Developer II - Data Science & Enterprise Data Platform Development at NNBI Holdings Pty Ltd

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Jun, 26

Salary

180000.0

Posted On

12 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Enterprise Data Platform, Snowflake, Data Bricks, Big Data Ecosystem, Data Engineering, Java, Kafka, Spark, Python, Scikit-learn, Pandas, NumPy, PyTorch, TensorFlow, Apache Airflow

Industry

Financial Services

Description

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. 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. 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. 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. 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. #LI-DD2 #LI-Hybrid Compensation Details The salary range for this role is $140,000-$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 Berman 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 onlineaccommodations@nb.com. Learn about the Applicant Privacy Notice.

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Responsibilities

The role involves contributing to the design, development, and deployment of the enterprise data platform, focusing on scalability, performance, and security needs. Responsibilities include implementing and optimizing cloud-based platforms using tools like Snowflake and Data Bricks to drive data transformation and analytics.