Senior Developer I Data Engineer

Neuberger Berman


Job Location:

New York City, NY - USA

Monthly Salary: $ 130000 - 170000
Posted on: 7 days ago
Vacancies: 1 Vacancy

Job Summary

Neubergers Private Markets Technology group is seeking a Senior Data Engineer to design and scale the data infrastructure supporting our private equity and private debt strategies. This role sits at the intersection of data engineering and investment operations you will work directly with fund administration operations and analytics teams to model move and govern data across a complex multi-administrator environment spanning multiple fund structures and jurisdictions. Our data landscape is operationally driven and non-standard by nature sourced from GP notices fund administrators data rooms and bespoke operational workflows rather than exchange feeds or market data vendors. We need someone who understands that distinction and can build for it.

Key Responsibilities:

  • Develop and optimize data models in the data warehouse for analytics reporting and operational workloads translating private markets workflows such as capital calls distributions and co-investment closings into well-governed reusable datasets

  • Design build and maintain scalable ETL/ELT data pipelines that ingest and normalize large volumes of structured and unstructured data from multiple fund administrators with inconsistent booking conventions across diverse fund structures and jurisdictions

  • Implement data quality checks monitoring and alerting to ensure the reliability and accuracy of data across the platform.

  • Collaborate with users and development teams to understand data requirements and deliver well-modeled accessible datasets.

  • Optimize query performance pipeline throughput and storage costs across the data platform.

  • Contribute to data governance practices including documentation lineage tracking cataloging and access controls with a focus on golden record ownership and how upstream data quality propagates through downstream investment and reporting systems

  • Leverage AI to drive efficient coding and process design

Required Qualifications

  • Bachelors degree in Computer Science Data Engineering Information Systems or a related field.

  • 7 years of professional experience in data engineering building and maintaining production data pipelines.

  • Financial markets data domain experience required with Private Markets data experience a plus

  • Demonstrated fluency with AI tools co-pilot tools LLM-assisted development or AI-augmented data workflows

  • Advanced SQL skills and experience designing dimensional data models (star schema snowflake schema).

  • Proficiency in Python and experience with data processing frameworks such as Apache Spark Pandas or Polars.

  • Hands-on experience with orchestration tools such as Apache Airflow

  • Experience with Snowflake and cloud services (AWS or Azure).

  • Familiarity with data transformation tools like dbt and version-controlled analytics workflows.

  • Solid understanding of software engineering best practices including Git CI/CD testing and containerization.

Preferred Qualifications

  • Experience with streaming data architecture using Kafka

  • Experience implementing data contracts and schema evolution strategies.

  • Experience with OpenShift platform

  • Experience normalizing data across similar data sets

  • Experience private markets data context

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 $130000-$170000. 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 employees 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 Companys sole discretion unless and until paid and may be modified at the Companys 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 .

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Required Experience:

Senior IC

Neubergers Private Markets Technology group is seeking a Senior Data Engineer to design and scale the data infrastructure supporting our private equity and private debt strategies. This role sits at the intersection of data engineering and investment operations you will work directly with fund admi...