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

• 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.

What We’re Looking For

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.

Nice to Have:

• 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.