Swish Analytics · 1 day ago
Data Engineer
San Francisco, CA
Full-time
Onsite
Mid Level
$140K/yr - $140K/yr
3+ years expSwish Analytics is a sports analytics startup focused on building predictive sports analytics data products. The Data Engineer will be responsible for building trading infrastructure for sports betting platforms and architecting low-latency systems for real-time trading decisions.
AnalyticsBig DataFantasy SportsMachine LearningPredictive AnalyticsSports
Responsibilities
Build and optimize market-making engines that consume real-time order book data and execute trades across multiple platforms
Develop low-latency data ingestion pipelines for market data feeds (WebSocket, FIX protocol, REST APIs)
Create real-time edge analysis systems that compare our fair values against live market prices to identify profitable opportunities
Implement order management systems with robust error handling, position tracking, and risk controls
Deploy and manage containerized applications on Kubernetes
Build automated testing, deployment, and rollback procedures for trading systems
Design and implement post-trade analysis tools to evaluate strategy performance
Handle production incidents and optimize system performance under load
Qualification
Required
3+ years of production Python experience with strong async programming skills
Deep understanding of Python's async/await patterns, event loops, and concurrent execution
Experience building and maintaining production services in Linux environments
Strong system design skills for distributed, real-time data processing systems
Proficiency with SQL databases and data modeling
Experience with containerization (Docker) and orchestration (Kubernetes)
Familiarity with message streaming platforms (Kafka preferred)
Understanding of monitoring, logging, and observability practices
Git workflows and CI/CD pipelines
Ability to write clean, maintainable, well-tested code
Strong debugging skills and systematic problem-solving approach
Comfortable working in a fast-paced environment with evolving requirements
Self-directed with ability to make pragmatic technical decisions
Preferred
Experience with trading systems, market-making, or order book dynamics
Knowledge of sports betting markets or financial trading ecosystems (TradFi/Crypto)
Experience with Protobufs, Argo Workflows, or similar tools in our stack
Background in high/mid-frequency or low-latency system design
Understanding of WebSocket protocols and real-time data streaming
Exposure to FIX protocol or other financial messaging standards
Experience with Streamlit or similar tools for rapid dashboard development
Knowledge of database CDC patterns (Debezium, etc.)
Contributions to open-source trading or data infrastructure projects
Experience working with Rust or C++
Company
Swish Analytics
Swish Analytics operates as machine learning system for sports.
11-50 employees
H1B Sponsorship
Swish Analytics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2022 (1)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$8.73MKey Investors
Titanium Ventures
2019-05-29Series B· $6.91M
2018-07-03Series Unknown
2016-05-27Seed· $1.8M
Leadership Team
Corey Beaumont
Co-Founder and Head of Engineering
Robert Skoff
Co-Founder
Recent News
The Business Journals
2023-12-23
2023-08-17
Company data provided by crunchbase