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Python software engineers

Class Valuation, LLC
New York, NY, United States
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Extract Transform Load (ETL) Distributed Systems Python (Programming Language) Reference Data Software Engineering Data Processing Information Technology Video Streaming Data Pipelines

Job description

  • Improve core functionality of the systems, ensuring performance and accuracy
  • Integrate new reference data source
  • Setup ETLs for ingesting and processing data

Requirements

  • Minimum 5+ yearsā€™ quant software development experience, preferably at a top-tier financial services firm
  • Ability to write production-grade (robust and maintainable) Python code
  • BS degree or above in Computer Science, Mathematics, or related field
  • Experience with data pipelines
  • Ideally familiar with some streaming technology
  • Built large-scale, distributed systems

About the company

Exciting opportunity at one of the fastest growing financial services firms around the world. They offer prime brokerage, clearing and financing across traditional and digital assets, and are now looking to hire world-class Python software engineers to help build on their success.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role ā€” technically off-topic, practically not.

Moments

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6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff Ā· WWC 2024

3:45 min

Duplicating permanent data intentionally instead of managing unstable references

Stanimira Vlaeva Ā· JS Congress

2:10 min

Defining stream data processing versus standard event processing

Soroosh Khodami Soroosh Khodami Ā· WWC 2024

1:31 min

Baseline developer skills for software data science

Markus Harrer Markus Harrer Ā· WWC 2021

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 Ā· WWC 2025

2:32 min

Capturing historical state and integrating static reference data

Matthias Niehoff Matthias Niehoff Ā· WWC 2023

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LIVE ā€¢ over 5 years ago

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30:51
WWC 2024 ā€¢ almost 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

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Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
28:41
WWC 2025 ā€¢ 12 months ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

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26:53
WWC 2023 ā€¢ almost 3 years ago

Enjoying SQL data pipelines with dbt

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Enterprise Python: Software That Lives Long And Prosper thumbnail
24:53
WWC 2024 ā€¢ almost 2 years ago

Enterprise Python: Software That Lives Long And Prosper

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