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Schonfeld

AI Data Engineer

Schonfeld · New York, New York, United States

Posted about 2 months ago

or apply directly on Schonfeld 's site. We never take the application ourselves.

Is this posting real?

This role has been open
54 days
Schonfeld 's roles stay open a median of 54 days
Reposted
No
Salary listed
No
1% of Schonfeld 's roles list one
Ghost-job risk at Schonfeld
high
47 stale, 1 reposted of 68 open
Hiring momentum
77 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-26

Measured from postings appearing on and disappearing from Schonfeld 's own greenhouse board since 2026-08-03. Full hiring picture for Schonfeld .

About this role

The AI Data Engineer at Schonfeld Strategic Advisors will focus on building data pipelines and datasets to support the company's AI capabilities. This role involves designing scalable data solutions, conducting data analysis, and collaborating with cross-functional teams to meet data needs. The engineer will also maintain data infrastructure for AI/ML workloads and ensure data quality and integrity.

Our read on this posting2.4out of 5
benefits
2/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Schonfeld as an employer.

What you need

  • Strong proficiency in Python and SQL
  • Experience with building and orchestrating production data pipelines and ETL/ELT workflows (e.g., Apache Airflow, Prefect, Dagster)
  • Designing schemas and working with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Elasticsearch)
  • Analyzing data and building models with statistical/ML libraries (e.g., XGBoost, PyTorch, TensorFlow)
  • Working with a major cloud provider (AWS, GCP, or Azure)
  • Preparing and serving data for ML/AI systems, including vector databases (e.g., Pinecone, Weaviate, Qdrant)

Nice to have

  • Financial domain knowledge — e.g., quantitative research or data science experience at a buy-side or sell-side firm
  • Experience supporting LLM applications or RAG (Retrieval Augmented Generation) systems
  • Familiarity with distributed computing frameworks (Spark, Flink) or large-scale data platforms
  • Familiarity with financial data sources (market data, fundamental data, alternative data)
  • Knowledge of data streaming technologies (Kafka, Kinesis, Pub/Sub)

What you get

  • Base pay expected to be between $225k and $275k
  • Eligibility for other forms of compensation such as a performance bonus
  • Competitive benefits package

Worth weighing

  • No specific mention of remote work options
  • The role requires collaboration with various teams, which may imply a need for in-office presence
  • The salary range is broad, which may indicate variability based on negotiation or experience

Summarised from Schonfeld 's posting. Read the full original.

Listed by Schonfeld on their greenhouse job board, last confirmed open on 2026-09-26. PitchMeAI is not the employer.

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