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Senior Software Engineer, Distributed Data Systems
CleraSenior Software Engineer developing scalable OLAP lakehouse platform. Joining a well-funded NYC-based startup specializing in agentic analytics for data-intensive organizations.
Posted 7/2/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $200,000 - $350,000 per yearWebsite
Tech Stack
Tools & technologiesApacheDistributed SystemsHadoopHaskellSparkTypeScript
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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
Benefits
Comp & perks- Equity participation in a well-funded, high-growth startup
- Interview travel covered for onsite candidates
- Visa sponsorship available
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data Systems EngineeringBackend EngineeringInfrastructure EngineeringQuery OptimizationAlgorithms and Data Structures
Soft Skills
CollaborationOwnership