Senior Software Engineer, Distributed Data Systems

About the role

Join a fast-moving, NYC-based AI-native data infrastructure company that is building the next generation of agentic analytics. This is a greenfield opportunity to architect and build a scalable OLAP lakehouse platform that turns messy enterprise data into trustworthy, actionable answers - at scale, for some of the most data-intensive organizations in the world. As a Senior Software Engineer on the Distributed Data Systems team , you'll own core platform components end-to-end, with a particular focus on query performance and join optimization. If you get genuinely excited about JOIN order optimization or have ever implemented a query optimizer for fun, this role was written for you. The company is well-funded (Series A/B stage) and backed by notable strategic investors. Hiring decisions can be made within 72 hours of an onsite interview, and interview travel is covered. Visa sponsorship is available.

Responsibilities

• Work on a greenfield OLAP lakehouse project, building the data platform for the agentic era - where AI agents drive the vast majority of queries.
• Design and implement distributed data system components with a strong focus on join optimization and query performance .
• Collaborate fluidly across infrastructure, services, and frontend to deliver end-to-end data platform features.
• Ship reliable, scalable data infrastructure that powers enterprise-grade analytics at scale.
• Contribute from zero to one - this is early-stage, high-ownership work.

Requirements

• Required:
• 4+ years of experience as a data systems, backend, infrastructure, or platform engineer.
• Proficiency in Haskell and/or TypeScript (the core tech stack).
• Strong data focus - you think deeply about data quality, correctness, and performance.
• Experience building products from zero to one ; prior startup experience (ideally VC-backed) strongly preferred.
• Experience with distributed systems .
• Experience with big data systems (Apache Spark, Hadoop).
• Experience with databases (relational, columnar, or otherwise).
• Strong foundation in algorithms and data structures and their real-world applications.
• Experience with OLAP lakehouse / data lakehouse architecture and query optimization .
• Comfortable diving into any layer of the stack - infrastructure, services, or frontend.
• Passion for building robust, scalable, and easy-to-use systems.
• Background at companies working on data platforms, query engines, or AI/ML infrastructure.
• Compensation & Benefits
• Salary: $200,000 - $350,000 USD annually (based on experience)
• Equity participation in a well-funded, high-growth startup
• Interview travel covered for onsite candidates
• Visa sponsorship available
• Location
• This role is on-site in New York, NY . Candidates should be based in NYC or willing to relocate. This is not a remote role.

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