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Senior Market Data Engineer - Python

Balyasny Asset Management · Hedge fund · Senior · Posted 2026-06-30

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Senior Market Data Engineer - Python

ROLE OVERVIEW

We are looking for an experienced Senior Market Data Engineer to join our team. The ideal candidate will have a strong background in Python, cloud technologies, and extensive experience working with tick data and building robust tick data pipelines. Experience with Parquet-based file storage is required, and familiarity with Apache Iceberg is a significant plus. The role involves designing, implementing, and maintaining our market data processing systems, ensuring high availability, performance, and scalability.

RESPONSIBILITIES

  • Design and develop high-performance tick data pipelines to process and analyze large volumes of financial market data.
  • Work with timeseries databases (e.g., KDB, OneTick) to store, query, and manage tick data efficiently.
  • Utilize cloud technologies to optimize data processing and storage solutions.
  • Leverage Parquet-based file storage for efficient data storage and retrieval.
  • (Preferred) Integrate and manage data using Apache Iceberg for large-scale data lake management.
  • Collaborate with other engineers and trading teams to define data requirements and integrate market data into our products and services.
  • Ensure data quality and integrity by implementing robust data validation and error handling mechanisms.
  • Continuously improve data processing latency and throughput to meet the needs of high-frequency trading environments.
  • Develop and maintain documentation for data pipelines and architectures.

QUALIFICATIONS

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 8+ years of experience in software engineering with a focus on market data.
  • Proficient in Python and familiar with cloud platforms (AWS, GCP, Azure).
  • Experience with Kubernetes and containerization.
  • Demonstrated experience with tick data and building tick data pipelines.
  • Experience with Parquet-based file storage is required.
  • Experience with Apache Iceberg is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Experience working with timeseries databases (e.g., KDB, OneTick) and C++ is a plus.
  • Experience with financial markets and trading concepts is a plus.

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