# Market Data Connectivity Engineer at Metabit Technology LLC

> Singapore · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/greenhouse%3Ametabittechnologyllc%3A4451183009 (read 2026-11-10).

## Facts (observed)

- Company: [Metabit Technology LLC](https://alderhq.app/companies/metabit-technology-llc)
- Location text: Singapore; Singapore
- Where it can be done from (inferred): Singapore (evidence: "Location: Singapore; Singapore")
- Posted: 2026-10-15 (26 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/metabittechnologyllc/jobs/4451183009
- Skills listed (inferred): Python, C++

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Singapore, n 12): p25 SGD 151k, median SGD 209k, p75 SGD 261k

## Description (the employer's text)

### Job Responsibilities

Data Engineering Implementation: Execute the end-to-end backfill process for high-frequency MBO (Market-By-Order) historical data, managing everything from raw PCAP packet processing to the cleaning, standardization, and final delivery of high-fidelity MBO data.

Data Pipeline Operations & Adaptation: Actively participate in the daily operations of a high-volume data scheduling system based on Dagster; handle routine task monitoring, troubleshooting, and recovery/re-runs; and—under mentor guidance—rapidly adapt to and implement changes in exchange-level underlying protocols.

Data Quality Assurance: Develop data quality validation rules and automation scripts; perform initial analysis and diagnosis (first-line diagnosis) for data quality anomalies detected during daily operations.

Quantitative Research Support: Serve as a frontline point of contact to efficiently support quantitative researchers' data needs, assisting in identifying, explaining, and resolving complex issues related to market data encountered during the research and investment process.

### Job Requirements

Background: 0-3 years relevant work experience, or an outstanding recent graduate/junior engineer with exceptional technical potential.

Core Skills: Solid coding proficiency in C++ and Python; familiarity with Linux development environments. Experience with high-frequency tick data, time-series data, or large-scale distributed data processing is a plus.

Familiarity with Python and common data processing libraries (e.g., pandas, numpy) is preferred.

Strong interest in financial trading systems and data systems; excellent learning agility and teamwork skills.

Practical engineering project experience (e.g., coursework, internships, open-source projects) is preferred.

### Bonus Points

Understanding of common market data structures (e.g., order book, tick, bar).

Experience participating in finance-related projects, competitions, or coursework.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Ametabittechnologyllc%3A4451183009 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.