Schonfeld

Schonfeld

AI Data Engineer

New York, New York, United States

Sponsorship not specifiedDetected 16 days ago
PythonJavaGoRustScalaSQLNoSQLPostgreSQLMySQLMongoDBElasticsearchDynamoDBRedshiftVector DatabasesAWSGCPCloud PlatformsDockerKubernetesKafkaMachine LearningSparkAirflowData Engineering

About the role

  • Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team.
  • Ensure data quality, consistency, and integrity across all pipelines.
  • Integrate with existing firm systems including risk platforms, trading systems, portfolio management tools, and research databases.

Responsibilities

  • 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.
  • 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.
  • Partner with AI engineers, software developers, and data scientists to understand data requirements.
  • Collaborate with infrastructure teams on cloud architecture, security, and compliance requirements.
  • Experience building data pipelines for LLM applications or RAG (Retrieval Augmented Generation) systems

Requirements

  • Programming: Strong proficiency in Python
  • experience with SQL and at least one other language (e.g. Java, Scala, Go, Rust)
  • Data Engineering: 5+ years of experience building production data pipelines using tools like Apache Airflow, Prefect, Dagster, or similar
  • Big Data Technologies: Hands-on experience with distributed computing frameworks (Spark, Flink) and modern data platforms
  • AI/ML Data: Understanding of data requirements for ML/AI systems, including experience with vector databases (Pinecone, Weaviate, Qdrant) and embedding pipelines
  • Strong proficiency in Python

Skills

  • Hands-on experience with distributed computing frameworks (Spark, Flink) and modern data platforms
  • Cloud Platforms: Proficiency with AWS services (S3, Kubernetes) or equivalent GCP services
  • Databases: Experience with both SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB, Elasticsearch)
  • Preferred Experience
  • Familiarity with financial data sources (market data, fundamental data, alternative data)
  • Knowledge of data streaming technologies (Kafka, Kinesis, Pub/Sub)
  • Experience of Analytics/Warehouse/OLAP DB (BigQ, SingleStore, RedShift, ClickHouse)
  • Experience with containerization (Docker) and orchestration (Kubernetes)
  • Understanding of MLOps practices and tools
  • Experience with data quality frameworks (Great Expectations, Deequ)
  • Professional Skills
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related technical field

Compensation

  • The base pay for this role is expected to be between $225k and $275k.

Company info

  • Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors.
  • We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets.
  • We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.
  • At Schonfeld, we'll invest in you.
  • Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people.
  • We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals.
  • We are teamwork-oriented, collaborative and encourage ideas-at all levels-to be shared.
  • As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact.
  • We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm's walls.
  • The base pay for this role is expected to be between $225k and $275k.
  • The expected base pay range is based on information at the time this post was generated.
  • This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package.
  • Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.
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