Software Engineer, Databento

C++/Rust

Salary not provided

C++

Rust

Junior and Mid level

Remote in US

Boston

New York

San Francisco Bay Area

More information about location

Pay-as-you-go system for financial data

Open for applications

Pay-as-you-go system for financial data

1-20 employees

FintechB2BSaaSData Sharing

Open for applications

Salary not provided

C++

Rust

Junior and Mid level

Remote in US

Boston

New York

San Francisco Bay Area

More information about location

1-20 employees

FintechB2BSaaSData Sharing

Company mission

Building the next generation data platform to power the world's largest institutions - starting with the radical idea that you should only pay for market data on a metered, pay-as-you-go basis.

Job

Company

Role

Who you are

Prior internship experience or 1 to 3 years of full-time software engineering experience, preferably at a trading firm, tech company or high-growth startup
Strong proficiency in C/C++ or Rust
Knowledge of systems programming, algorithms, data structures, multithreading, networked I/O, serialization, CPU architecture, kernel, and compilers
Experience working with multiprocess environments
Comfortable with lldb/gdb
Good communication skills and work ethic for a remote workplace
An interest in low-level optimization and performance engineering
An interest in financial data or algorithmic trading

What the job involves

We're looking for a junior software engineer (on parity with L3 to L4 at a large tech firm) to join our core engineering team
Our core engineering team is responsible for all things C/C++ and Rust and the most performance-sensitive parts of our codebase
You'll be working with almost 20 PB of data, with thousands of bare metal CPU cores at your disposal
Design, develop, and maintain high-performance server applications in C/C++ and Rust
Write message parsers and feed handlers for direct market data feeds from trading venues
Optimize existing codebase for high throughput (millions of messages per second, up to 40+ gigabit) and low latency (measured in nanoseconds)
Implement tools and libraries for petabyte-scale data processing and analysis
Collaborate with systems team to implement best practices for build, deployment, CI/CD
Implement monitoring and improve application uptime
Ensure smooth feature rollouts and updates

Our take

Despite the exponential growth of data within fintech, the majority of financial data providers continue to provide inconvenient services, with high licensing fees, slow infrastructure, and difficult onboarding processes. Furthermore, taking a new dataset to production requires high cost commitment and a large lead time, which can be difficult to manage.

Databento aims to democratise the financial industry and transform the way businesses use data platforms. They set themselves apart by eliminating all expensive up-front costs so that businesses only pay for market data as and when they use it. In doing so, they fit any company's budget and needs, no matter the size of the business.

Steph

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Oct 2024

$10m

SERIES A

Dec 2022

$31.8m

EARLY VC

Total funding: $66.1m

Company benefits

401k
Health and dental insurance
Unlimited PTO

Company HQ

Downtown Crossing, Boston, MA

Articles

Hedge fund success, then a pivot with purpose

Stable named FIA Innovator of the Year; X-Margin is the runner-up and Databento wins the People’s Choice Award

Leadership

Christina Qi

(CEO)

Visiting lecturer at MIT and Harvard Business School, board member at MIT and Financial Executives Alliance. Founding partner at Domeyard.

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