Senior Software Engineer, Distributed Data Systems
$200,000–$350,000 year
On-siteNew York City, New York, United States or New York, United States
Job Summary
Design and build core components of a greenfield distributed OLAP lakehouse platform from the ground up, driving query performance improvements through join optimization and execution strategies suited for agent-driven workloads. Collaborate across infrastructure, backend services, and frontend layers to ship reliable, scalable data infrastructure supporting enterprise-grade analytics at scale while contributing to zero-to-one product development. This role requires 4+ years of experience in data systems or backend engineering with proficiency in Haskell or TypeScript, located on-site in New York City with a salary range of $200,000 to $350,000. Visa sponsorship is available.
Required Qualifications
- 4+ years of experience as a data systems, backend, infrastructure, or platform engineer with a focus on building or delivering data infrastructure
- Hands-on experience with OLAP lakehouse or data lakehouse architecture, including query optimization and join optimization
- Proficiency in Haskell and/or TypeScript
- Experience building and shipping distributed data systems or big data platforms (e.g., Apache Spark, Hadoop)
- Demonstrated experience designing and implementing distributed systems components
- Experience working with databases — including schema design, indexing, and query execution
- Strong foundation in algorithms and data structures with real-world application
- Experience shipping products from zero to one in a startup or early-stage environment, ideally VC-backed
- Candidates should be based in NYC or willing to relocate
- Remote work is not available for this position
Desired Qualifications
- If you find yourself genuinely excited by JOIN order optimization or have ever implemented a query optimizer for fun
- Comfort working across multiple system layers: infrastructure, backend services, and frontend
- Prior experience at a VC-backed startup
- Background at companies operating in AI/ML, data engineering, or analytics infrastructure (e.g., companies like Databricks, ThoughtSpot, Hex, or similar)
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