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.
What You'll Do
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Work on a greenfield OLAP lakehouse project, building the data platform for the agentic era — where AI agents drive the vast majority of queries.
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Design and implement distributed data system components with a strong focus on join optimization and query performance .
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Collaborate fluidly across infrastructure, services, and frontend to deliver end-to-end data platform features.
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Ship reliable, scalable data infrastructure that powers enterprise-grade analytics at scale.
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Contribute from zero to one — this is early-stage, high-ownership work.
What We're Looking For
Required:
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4+ years of experience as a data systems, backend, infrastructure, or platform engineer.
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Proficiency in Haskell and/or TypeScript (the core tech stack).
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Strong data focus — you think deeply about data quality, correctness, and performance.
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Experience building products from zero to one ; prior startup experience (ideally VC-backed) strongly preferred.
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Experience with distributed systems .
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Experience with big data systems (Apache Spark, Hadoop).
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Experience with databases (relational, columnar, or otherwise).
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Strong foundation in algorithms and data structures and their real-world applications.
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Experience with OLAP lakehouse / data lakehouse architecture and query optimization .
Nice to Have:
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Comfortable diving into any layer of the stack — infrastructure, services, or frontend.
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Passion for building robust, scalable, and easy-to-use systems.
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Background at companies working on data platforms, query engines, or AI/ML infrastructure.
Compensation & Benefits
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Salary: $200,000 – $350,000 USD annually (based on experience)
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Equity participation in a well-funded, high-growth startup
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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.
Originally posted on Himalayas