Data Engineer (Senior)
New York
About Clear Street:
At Clear Street, we are disrupting the institutional brokerage and clearing market by modernizing archaic industry segments with brand new technology. We’re changing the way institutional investors interact with the markets; offering an alternative to working with big banks. Our cloud-based API technology will empower clients to clear, settle, and finance trading activity while accessing real-time risk and position information. Our platform is built on an incredibly modern tech-stack, by pragmatic engineers focused on building intuitive and frictionless user experiences. Our tech-infused suite of customer experience-oriented prime service offerings will increase our clients’ efficiency and provide real-time insights they’ve never previously experienced.
The Team:
As an experienced Data Engineer on our Data Infrastructure team, you will play an integral role in the design and execution of our shared data tooling and infrastructure. You’ll work horizontally across the engineering organization to determine what data pipeline problems people have, how they are solving them, and how those solutions could generalize across the firm. You will create reusable data platform elements and tools that improve the way engineering teams transform data. You will partner with others across the organization to understand complex data-related issues and seek effective compromises. As a voice of experience in the team, you will help mentor teammates, evolve our technical standards and best practices, and further our culture of system designs and data pipeline architecture.
Requirements:
- You have 5+ years of experience designing and architecting systems that deliver solutions to complex data problems.
- You are a data modeling pro; you understand how to create unified definitions of types from different source data representations.
- You have experience with data science and statistical analysis methods, especially related to financial domains.
- You communicate technical ideas with ease and always look to collaborate to deliver high quality products.
- Your experience will help you mentor team members, define our engineering standards, and drive a system design approach to building new services.
Data Infrastructure Team Stack: Python, Snowflake, Argo, Kafka, Docker, Kubernetes
We offer:
- The opportunity to join a small and growing team of good people, where you can make a difference.
- A new, high-quality code base with little technical debt and room to build new services and features.
- An environment that embraces the utility of a DevOps oriented culture and combines it with a focus on CI/CD methodology.
- A meritocratic philosophy that champions collaboration.
- Competitive compensation, benefits, and perks.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture CI/CD DevOps Docker Engineering Finance Kafka Kubernetes Python Snowflake Statistics
Perks/benefits: Competitive pay
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