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Senior Data Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: CW Talent Solutions
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below
Location: New York

Senior Search Consultant @ CW - Trading Technology / Quant Developers / Software Engineers / Global Hedge Funds Quant Dev / Data Engineer – Quantitative Investments

As a Data Engineer, you will design, build, and maintain high-performance data systems that support the full lifecycle of research and trading:

  • Design, implement, and evolve robust data processing and storage infrastructure
  • Build software libraries and enriched datasets that unlock advanced research and LLM-driven capabilities
  • Automate the scheduling, orchestration, and deployment of research projects into live trading systems
  • Ensure the highest standards of data quality through automated checks and ad-hoc analysis
  • Develop dashboards and monitoring tools that provide visibility across the entire data lifecycle
  • Build and maintain scalable ETL and ELT pipelines to onboard and transform diverse data sources
  • Collaborate closely with quantitative researchers to accelerate experimentation and productionization
Required Qualifications
  • 2+ years of experience in Data Engineering, ideally within a data-driven, multidisciplinary environment
  • Strong proficiency in Python and SQL
  • Excellent written and verbal communication skills
  • Exceptional attention to detail in both data analysis and data engineering
  • Strong sense of ownership and accountability for projects end-to-end
  • Ability to quickly learn and understand complex business and research domains
  • Proven ability to prioritize effectively and focus on high-impact work
Preferred Qualifications
  • Experience with distributed or cluster computing frameworks (e.g.,
    Spark
    , Dask
    )
  • Experience with workflow orchestration tools (e.g.,
    Airflow
    , Dagster
    , Prefect
    )
  • Familiarity with cloud-based data warehouses and platforms (e.g.,
    Databricks
    , Snowflake
    , Redshift
    )
  • Prior experience in a quantitative trading firm, hedge fund, or working with time-series, market, or alternative data
  • Experience supporting machine learning
    , LLM
    , or NLP data pipelines and workflows
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst, Finance, and Research

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Position Requirements
10+ Years work experience
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