Software Engineer - Market Data
AI summary of the role
Build high-performance real-time data pipelines for financial market data (equities, options, futures) on the FACT team at a cloud-native prime brokerage.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Design, develop, and maintain real-time data pipelines for financial market data with low latency and high throughput.
- Work with equities, options, futures, and other asset classes to ensure timely and accurate data processing.
- Collaborate with product, trading, and risk teams to deliver high-quality solutions.
- Develop efficient mechanisms for integrating market data feeds from exchanges and other sources.
What you’ll bring
- 8+ years professional experience implementing low-latency, high-throughput data pipelines.
- Solid understanding of distributed systems and real-time data pipeline challenges (consistency, fault tolerance, scalability).
- Familiarity with financial market data and asset classes (equities, options, futures).
- Strong familiarity with Linux/BSD.
Technologies
C++ · Rust · Go · Java · Python · gRPC · PostgreSQL · Snowflake · Kafka · Kubernetes · Linux/BSD · TCP/IP
About Clear Street
Cloud-native prime brokerage and capital-markets infrastructure platform giving sophisticated investors multi-asset execution, clearing, custody, financing, risk, and digital-asset access on one ledger.
Private Late · 500–1000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. For more information, visit https://clearstreet.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
More from the job description
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. For more information, visit https://clearstreet.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 var [... source excerpt omitted ...] e 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 ex [... source excerpt omitted ...] such as equities, options, futures, and other financial instruments to ensure timely and accurate data processing. Collaborate with product, trading, and risk teams to understand 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. Requirements: You have at least 8+ years of professional
Employer postings · Data from · Sources