Drweng
Senior Software Engineer, Mid-Frequency Platform - UP Reference Data Team
Chicago, London, New York City · Senior
Sponsorship not specified$175k-$225kDetected 23 days ago
SQLAWSDockerKubernetesPrometheusGrafanaKafkaSparkAirflowAccessibilityResearch
About the role
- DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.
- Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets.
Responsibilities
- Build and evolve data and platform capabilities that support mid-frequency trading research workflows
- Develop software for large scale data acquisition, storage, accessibility, and visualization
- Design and operate scalable pipelines and platforms using modern "big data" and lakehouse patterns
- Think a lot about APIs, modular design and testing
Requirements
- We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
Skills
- SQL and data warehousing/lake querying patterns
- Spark, Delta Lake, Iceberg, Kafka, Airflow and/or Argo Workflows
- Cloud-native deployments: AWS, Docker, Kubernetes
- Observability: Splunk, Prometheus, Grafana, Sentry
- The position is also eligible for an annual discretionary bonus.
- AWS, Docker, Kubernetes
Compensation
- The annual base salary range for this position is $175,000 to $225,000 depending on the candidate's experience, qualifications, and relevant skill set.
Company info
- 5+ years of platform-level software development experience
- Strong computer science fundamentals; a degree in Computer Science or equivalent work experience
- Financial market & reference data familiarity - understanding instrument IDs, feed normalization etc.
- Experience building research platforms and/or supporting mid-frequency trading environments
- Comfort working within a globally-distributed team
- Partner closely with internal customers to understand their needs and build intuitive self-service tools
This listing is sourced directly from Drweng's careers page and normalized into a canonical job model.