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Senior Data Engineer - Trading & OperationFynetraBoston, Massachusetts, United States
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Senior Data Engineer - Trading & Operation

Fynetra
  • US
    Boston, Massachusetts, United States
  • US
    Boston, Massachusetts, United States

Über

The Role This is a senior data engineering role embedded within a trading-focused environment, supporting execution, operations research, and quantitative trading teams.
You’ll help build and maintain the data platform that underpins trading analytics across multiple asset classes. The work is practical and production-oriented — ensuring data is reliable, accessible, and fit for purpose in time-sensitive trading workflows.
This role suits someone who enjoys working close to trading and research teams while owning core data infrastructure.
What You’ll Be Working On
Designing and maintaining scalable data pipelines from multiple sources
Improving reliability and monitoring of data ingestion processes
Transforming raw data into analytics‑ready datasets
Automating data and analytics workflows where possible
Implementing data quality checks and pipeline observability
Partnering with quantitative trading teams to enhance platform performance
Supporting data used across execution, operations, and research
What They’re Looking For
Strong experience in data engineering or data-intensive environments
Hands‑on programming experience in Python or similar languages
Experience working with high-volume, structured and unstructured datasets
Understanding of data quality, monitoring, and automation concepts
Exposure to trading data, market structure, or transaction cost analysis is a plus
Comfortable working independently and owning initiatives
Clear communicator who works well with technical and non-technical partners
Background
Degree in computer science, engineering, or a related technical discipline
Several years of relevant industry experience
Track record of improving data platforms in production environments
Why This Role
Direct alignment with trading and execution teams
Ownership over data used in live decision-making
Opportunity to improve systems that operate at scale
Hybrid working within a collaborative, research-driven culture
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  • Boston, Massachusetts, United States

Sprachkenntnisse

  • English
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