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Open nowFirst seen 5 days ago

Senior Market Data Engineer

VORKIS knows what employer wants92 open roles

Pay
$139,191 – $190,309 a year
Where
Remote
Work mode
Remote
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Your applicationOpen nowSenior Market Data EngineerVORKIS knows what employer wants · Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on VORKIS knows what employer wants's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Salary: $139,191 - $190,309 per year

Location:

Employment option: Remote

Job type: Contractor, Full time

Job Summary:

We are looking for a skilled and experienced Software Engineer to join our team, building high-performance real-time data pipelines to process financial market data, including security prices for various asset classes such as equities, options, futures, and more. You will play a key role in designing, developing, and optimizing data pipelines that handle large volumes of data with low latency and high throughput, ensuring that our systems can process market data in real time and batch modes.

Skills

Must Have

Hard skills: - competent in: JAVA, Linux, Software Quality, Unix, SQL, ClickHouse, Data Pipelines, Time Series, Asset Classes, Troubleshooting, Low Latency, JSON, Python Soft skills: - competent in: Communication Skills Nice-to-have

Hard skills: - competent in: Application Development, Cryptocurrency, Pipeline, Electrical Engineering, Data Storage, RDBMS, Research, Trading, Programming Languages

Job Description

Additional Requirements Bachelor’s or advanced degree in Computer Science or Electrical Engineering. Proficiency in Java, Python, or Go. Prior experience with equities or futures market data, such as CME data, US Equities Options. Experience in engineering and supporting Market Data feed handlers. Technically fluent in Python, SQL, JSON, ITCH, FIX, CSV. Prior experience with tick data storage, such as KDB+ or Clickhouse. Familiarity with time series analysis. Good understanding of the Unix/Linux programming environment. Expertise with SQL and relational databases. Excellent problem-solving and communication skills. Self-starter and works well in a fast-paced environment. Responsibilities Architect, develop, and enhance market data systems. Contribute to the software development lifecycle in a collaborative team environment, including design, implementation, testing, and support. Design highly efficient, scalable, mission-critical systems. Maintain good software quality and test coverage. Participate in code reviews. Troubleshooting incidents and reported bugs.

About Company

Company Overview

You will be part of an international engineering team focused on developing a modern, intelligent surveillance platform for financial institutions. The system processes high-frequency market data to identify irregular behavior and ensure regulatory compliance across jurisdictions.

This role offers exposure to complex engineering challenges, financial domain knowledge, and the opportunity to shape a next-generation platform from within a collaborative and technically strong team.

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