Metabit

Provides government IT services and security

Market Data Connectivity Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

The role targets candidates with 0–3 years of relevant work experience, or an outstanding recent graduate or junior engineer with exceptional technical potential.
Solid coding proficiency in C++ and Python is required.
Familiarity with Linux development environments is required.
A strong interest in financial trading systems and data systems is required.
Learning agility and teamwork skills are required.

Responsibilities

Execute the end-to-end backfill process for high-frequency Market-By-Order (MBO) historical data, from raw PCAP packet processing through cleaning and standardization to final delivery of high-fidelity MBO data.
Participate in daily operations of a high-volume data scheduling system based on Dagster, including routine task monitoring, troubleshooting, and recovery or re-runs.
Under mentor guidance, adapt to and implement changes in exchange-level underlying protocols.
Develop data quality validation rules and automation scripts, and perform initial analysis and diagnosis of data quality anomalies detected during daily operations.
Serve as a frontline point of contact for quantitative researchers' data needs, helping identify, explain, and resolve complex market data issues encountered during research and investment.

Desired Qualifications

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 such as pandas and NumPy is preferred.
Practical engineering project experience, including coursework, internships, or open-source projects, is preferred.
Understanding of common market data structures such as order books, ticks, and bars is a bonus.
Experience participating in finance-related projects, competitions, or coursework is a bonus.

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.

About the Company

Metabit

Provides government IT services and security

Metabit delivers IT services to U.S. federal, state, and local government agencies by combining managed services, strategic consulting, and advanced technology implementation. Its offerings include AI-powered cybersecurity with Zero Trust, generative AI for data analytics, and AI-driven cloud and infrastructure modernization, plus AI-enhanced SaaS development and staff augmentation with cleared IT professionals. Metabit differentiates itself as a government-focused, woman-owned small business with enterprise-level capabilities and niche expertise in unmanned systems, drones, and nuclear technology safety and data management. Its goal is to help public-sector customers modernize securely and cost-effectively, ensuring compliance and resilience while advancing government missions.

Company size: 1-10
Company stage: Seed
Total funding: $2M
Headquarters: Toronto, Canada
Founded: 2022

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