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AI Data Engineer

Schonfeld Strategic Advisors - New York, New York, United States

Posted Feb 5, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified checked Jun 7, 2026
Salary
$225K-$275K From the posting source checked Jun 20, 2026
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

123% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

AI Data Engineer New York, New York, United States About the Role Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that power SchonAI, our firm's internal AI platform. You will work at the intersection of data engineering and AI, ensuring that high-quality, timely, and relevant data flows seamlessly to our AI systems to support investment professionals across the firm. Key Responsibilities Data Pipeline Development - Design and build scalable, reliable data pipelines to ingest, transform, and deliver structured and unstructured data to SchonAI using Prefect. - Develop ETL/ELT processes for diverse data sources including market data, research documents, internal databases, and third-party APIs. - Implement real-time and batch data processing workflows to meet varying latency requirements. - Ensure data quality, consistency, and integrity across all pipelines. AI Data Infrastructure - Build and maintain data infrastructure optimized for AI/ML workloads, including vector databases and semantic search systems. - Design data schemas and storage solutions that support efficient retrieval and processing for LLM applications. - Implement data versioning, lineage tracking, and observability for AI training and inference pipelines. - Optimize data delivery for low-latency AI interactions and high-throughput batch processing. Integration & Collaboration - Partner with AI engineers, software developers, and data scientists to understand data requirements. - Integrate with existing firm systems including risk platforms, trading systems, portfolio management tools, and research databases. - Collaborate with infrastructure teams

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