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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 Management, Machine Learning Operations, Front End Software Development, Glasgow Haskell Compiler
- **Published:** July 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ecb42261c5e5ae33

## About the Role

* 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.

## Description

* 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.


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