Senior Developer - Data Engineer

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.

• 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.

• 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.

• Experience with streaming data architecture using Kafka.
• Experience implementing data contracts and schema evolution strategies.
• Experience with the Open Shift platform.
• Experience normalizing data across similar datasets.
• Experience in private markets data context.

Location:

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

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

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

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.