Senior Software Engineer, Distributed Data Systems

Clera

Senior 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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable data infrastructure and optimizing query performance within OLAP lakehouse architectures. Proficient in Haskell and TypeScript, with a strong focus on data quality and correctness in distributed systems.

Highest-signal resume keywords

Haskell ProficiencyTypeScript ProficiencyDistributed Systems ExperienceBig Data Systems ExperienceOLAP Lakehouse Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Systems EngineeringBackend EngineeringInfrastructure EngineeringQuery OptimizationAlgorithms and Data Structures

Soft Skills

CollaborationOwnership

Tools & Technologies

Apache SparkHadoopRelational DatabasesColumnar Databases

Industry Keywords

Data QualityData PerformanceEnterprise-Grade AnalyticsGreenfield ProjectsStartup Experience

Tech Stack

Tools & technologies

ApacheDistributed 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