Software Engineer, Databento

C++/Rust

Salary not provided

C++

Rust

Senior and Expert level

Boston

New York

San Francisco Bay Area

Remote from US

Pay-as-you-go system for financial data

Posted today

Pay-as-you-go system for financial data

21-100 employees

FintechB2BSaaSData Sharing

Posted today

Salary not provided

C++

Rust

Senior and Expert level

Boston

New York

San Francisco Bay Area

Remote from US

21-100 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

5+ 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
Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

What the job involves

We're looking for a midlevel or senior IC to join our core engineering team. Our team is responsible for all things C/C++ and Rust, and the most performance-sensitive parts of our codebase. You'll be working with nearly 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+ gigabits) and low latency (measured in nanoseconds)
Implement tools and libraries for petabyte-scale data processing and analysis
Collaborate with the 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. It sets itself 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.

2024's Series A funding round is being used by Databento to fuel its product enhancements such as a data history extension and a new flexible pricing plan. It is also putting the foundations in place to expand its European marketplace share.

Steph

Company Specialist at Welcome to the Jungle

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

Rio Grande, Salt Lake City, UT

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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