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# Senior Software Engineer, Distributed Data Systems

- **Company:** CLERA, LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $350,000.0
- **Contract:** Permanent contract
- **Skills:** Query Performance, Artificial Intelligence, Big Data, Databases, Data Infrastructure, Data Systems, Distributed Data Store, Distributed Systems, Apache Hadoop, Online Analytical Processing, Query Optimization, TypeScript, Apache Spark, Backend, Data Analytics, Front End Software Development, Glasgow Haskell Compiler
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=914be8755a670d22

## About the Role

* 4+ years of experience as a data systems, backend, infrastructure, or platform engineer.
 * Proficiency in Haskell and/or TypeScript (the team's core tech stack).
 * Strong data focus - you think deeply about data correctness, performance, and reliability.
 * Experience building products from zero to one, ideally in a startup environment.
 * Hands-on experience with distributed systems.
 * Experience with big data systems such as Apache Spark and/or Hadoop.
 * Experience working with databases (relational and/or analytical).
 * 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:

 * Comfort diving into any layer of the stack - infrastructure, services, or frontend.
 * Experience at an early-stage, VC-backed startup., This role is on-site in New York City, NY. Candidates should be NYC-based or willing to relocate. This is not a remote role.

## Description

This is a rare greenfield opportunity to build the data platform for the agentic era. You'll join a small, high-output engineering team at a fast-moving NYC-based AI data analytics startup - working on a brand-new OLAP lakehouse project designed to turn messy enterprise data into trustworthy, real-time answers at scale.

As query behavior shifts to be driven largely by AI agents, the architecture of the underlying data platform matters more than ever. If you get genuinely excited about JOIN order optimization or have implemented a query optimizer for fun, this role was written for you., * Design and implement core components of a greenfield distributed OLAP lakehouse platform.

 * Focus deeply on join optimization, query planning, and query performance at scale.
 * Build reliable, scalable data infrastructure to support enterprise-grade analytics workloads.
 * Collaborate across infrastructure, backend services, and frontend as needed to ship end-to-end platform features.
 * Take ownership of zero-to-one product work in a fast-paced early-stage environment.


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