Market Data Engineer - Build Scalable TimeSeries Pipelines

Capstone Investments

New York (NY)

On-site

USD 140,000 - 165,000

Full time

14 days+
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Benefits offered by this job

Training and development opportunities
Wellness resources
Time-off & commuter benefits

Job summary

Capstone Investments in New York seeks an Associate Data Engineer to build and maintain a market data platform supporting investment professionals. You will develop data pipelines, ensure data quality, and collaborate with product and portfolio managers to address data needs.

Experience with Python, Spark, and cloud platforms; MongoDB and timeseries databases; plus strong communication. The role offers a competitive base salary and benefits in a fast-paced, collaborative environment.

Qualifications

  • Data engineering experience in market data
  • Proficient in Python with big data tools (e.g., Spark, cloud platforms)
  • Experience with MongoDB and timeseries databases
  • Excellent written and verbal communication skills

Responsibilities

  • Develop data solutions for investment professionals to extract insights
  • Build data pipelines to improve efficiency, quality and resilience of the data platform
  • Collaborate with Product and Portfolio Managers to address data needs
  • Work with timeseries databases (MongoDB, OneTick) to store and manage tick data
  • Build data quality and integrity tools for validation and error handling
  • Investigate data issues and interconnect data sets with providers

Skills

Python
Spark
Cloud platforms
MongoDB
Timeseries DBs
Communication

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

MongoDB

Job description

Capstone Investments in New York seeks an Associate Data Engineer to build and maintain a market data platform supporting investment professionals. You will develop data pipelines, ensure data quality, and collaborate with product and portfolio managers to address data needs.

Experience with Python, Spark, and cloud platforms; MongoDB and timeseries databases; plus strong communication. The role offers a competitive base salary and benefits in a fast-paced, collaborative environment.

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