Senior Developer I - Data Engineer

Neuberger Berman; New York (NY); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Comprehensive benefits package

Bonuses

Paid time off

Job summary

Neuberger Berman's Private Markets Technology group is looking for a Senior Data Engineer based in New York City. The candidate will design scalable data infrastructure, optimize data models for analytics, and ensure data quality.

Applicants should have a Bachelor's degree in a related field and over 7 years of experience in data engineering. The position is hybrid, requiring two days in the office, and offers a salary range of $130,000–$170,000 along with a comprehensive benefits package.

Qualifications

• 7+ years of experience in data engineering with production pipelines.
• Experience in financial markets; private markets experience preferred.
• Advanced SQL skills and dimensional data model design.

Responsibilities

• Develop and optimize data models for analytics and reporting.
• Design, build, and maintain ETL/ELT pipelines for large data volumes.
• Implement data quality checks to ensure data reliability.

Skills

Data engineering

AI tools fluency

SQL

Python

Apache Spark

Education

Bachelor's degree in Computer Science or related field

Tools

Apache Airflow

Snowflake

AWS

Azure

Job description

Neuberger's Private Markets Technology group is seeking a Senior Data Engineer to design and scale data infrastructure supporting private equity and private debt strategies.

Responsibilities

• Develop and optimize data models in the data warehouse for analytics, reporting, and operational workloads.
• Design, build, and maintain scalable ETL/ELT pipelines that ingest and normalize large volumes of structured and unstructured data from multiple fund administrators.
• Implement data quality checks, monitoring, and alerting to ensure 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.
• Leverage AI to drive efficient coding and process design.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 7+ years of professional experience in data engineering, building and maintaining production pipelines.
• Financial markets data domain experience required; Private Markets data experience a plus.
• Demonstrated fluency with AI tools (e.g., copilot, LLM‑assisted development).
• 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 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 the OpenShift platform.
• Experience normalizing data across similar datasets.
• Experience in private markets data context.

Work Model

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

Compensation

Salary range: $130,000–$170,000. The role may also include discretionary bonuses.

Benefits

Comprehensive benefits package including paid time off, medical/dental/vision insurance, retirement plan, life insurance, and bonuses.

Equal Opportunity Employment

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.