Hiring: Application Developer II - Private Markets Technology Company: Neuberger Location: New York, NY Job Posted Time: 2026-09-14 12:13:48 Target Skills & Keywords : AWS, Agile, Azure, Azure DevOps, CI/CD, Data Pipeline, Data Warehouse, Django, FastAPI, Flask, GCP, Git, GitHub, JavaScript, Jenkins, Kubernetes, NumPy, OpenShift, Pandas, Python, React, SQL, SQL Server, Scrum, TypeScript, pytest About the job Experience: •2 to 4 years of professional software development experience. •4 years of professional software development experience. Required Skills: •Design, build, and maintain SQL stored procedures, views, and queries to support reporting for investment professionals and internal stakeholders. •Investigate and debug data issues, including query logic, query performance, and pipeline failures, tracing discrepancies back to their root cause. •Develop and maintain Python applications that ingest files, transform them into standardized formats, and load them into the data warehouse. •Analyze and validate data to fulfill internal stakeholder requests, ensuring accuracy and completeness. •Build and optimize the data layer behind portfolio construction, allocation, and exposure analytics tools, including SQL schema design and data modeling for portfolio and fund data. •Develop quantitative and analytical features such as portfolio aggregation and performance/exposure metrics, translating investment logic into clean, well-tested code. •Collaborate closely with investment teams to understand workflows, ask the right questions to clarify requirements, identify pain points, and deliver solutions that are clearly actionable. •Implement unit, integration, and data-quality tests; apply best practices in database management, security, and performance optimization. Qualifications: •Bachelor's degree in computer science, software engineering, mathematics, a quantitative discipline, or equivalent practical experience. •Strong SQL proficiency, including complex queries, stored procedures, views, window functions, joins, and performance tuning. •Strong Python skills for pipeline building, data analysis, and scripting, including experience working with data libraries (e.g., pandas, NumPy). •Hands-on experience building or maintaining data pipelines that move and transform data across systems, ensuring data integrity. •Solid analytical mindset, comfortable interpreting business requirements, producing accurate data outputs, and identifying data discrepancies. •Strong communication and collaboration skills; ability to work with both technical and business stakeholders, share ideas and opinions on potential solutions, and voice well-reasoned views even when they differ from the consensus. •Proven ability to quickly learn new technologies and domain concepts. •Proactive, ownership mindset with commitment to clean, maintainable, well-documented code, and a high bar for both your own work and that of the team. •Operational familiarity with portfolio construction concepts or investment performance and exposure analytics. Compensation: •$90,000 - $110,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!