Software Engineer - Market Data

About Clear Street: Clear Street’s mission is to give every sophisticated investor access to every asset, in every market, through a unified platform built for speed, transparency and scale. We give our clients the technology, tools, and service once reserved for the largest institutions, rebuilt with modern infrastructure. Our single, cloud-native, end-to-end capital markets platform powers investor growth today and is transforming how they can interact with markets tomorrow.

io . The Team: The FACT team is responsible for several key data products which enable Clear Street’s systems and personnel to operate with confidence and speed. These products include security and pricing master, corporate actions, and streaming market data as well as a number of other key reference datasets.

The FACT team takes on the task of collecting inputs from various sources including vendors, public sources, and internal teams and organizing them into cohesive data products which serve as the authoritative source of reference data within the firm. FACT Team Stack: C++, Rust, Go, Java, Python, gRPC, PostgreSQL, Snowflake, Kafka, Kubernetes The Role: 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 and deliver market data in real time.

As a Software Engineer in the FACT team, you will work closely with high-impact teams to design and implement cutting-edge solutions that support our trading, analytics, and financial data products. You will play a key role in the design and implementation of key components that support Clear Street’s continued expansion into global markets. The ideal candidate will have a strong background in building low-latency, high-throughput systems, as well as a deep understanding of financial market data structures and processes.

Knowledge or direct experience working with market data feed handlers from exchanges is a significant advantage.

Responsibilities

: Design, develop, and maintain real-time data pipelines to handle financial market data with low latency and high throughput in a resilient manner. Work with various asset classes such as equities, options, futures, and other financial instruments to ensure timely and accurate data processing.

Requirements

and deliver high-quality solutions that meet business needs. Develop efficient mechanisms for integrating market data feeds from exchanges and other sources into our systems. Troubleshoot and resolve performance issues, data discrepancies, and ensure data integrity across the pipeline.

Continuously monitor the performance and health of data pipelines, identifying and mitigating potential issues before they impact system performance.

, data consistency, fault tolerance, scalability). Familiarity with financial market data, including security prices, and asset classes like equities, options, futures, etc... Strong familiarity with Linux/BSD Familiarity with TCP/IP and UDP (Unicast/Multicast) networking You communicate technical ideas with ease and always look to collaborate to deliver high quality products.