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Manager Clickhouse Jobs in Ohio (NOW HIRING)

BrightEdge

Senior Backend AI Engineer

Cleveland, OH · On-site

Optimize High-Velocity Analytics:  Design and manage low-latency data flows into  ClickHouse  and  BigQuery , ensuring our AI-driven insights are backed by high-performance OLAP architecture.

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Manager Clickhouse information

What is the difference between Manager Clickhouse vs Data Engineer?

AspectManager ClickhouseData Engineer
Primary FocusOversees Clickhouse database management, team coordination, and strategyDesigns, develops, and maintains data pipelines and infrastructure
Required SkillsDatabase administration, team leadership, project managementETL processes, SQL, programming, data modeling
CertificationsDatabase management, cloud certifications, project managementData engineering, cloud, and programming certifications
Work EnvironmentManagement, strategic planning, team collaborationTechnical development, coding, data architecture

The Manager Clickhouse primarily focuses on overseeing Clickhouse database operations and leading teams, while a Data Engineer concentrates on building and maintaining data pipelines and infrastructure. Both roles require technical knowledge, but the Manager Clickhouse emphasizes management skills, whereas the Data Engineer emphasizes technical development and data architecture.

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Manager Clickhouse jobs near you
Senior Backend AI Engineer

Senior Backend AI Engineer

BrightEdge

Cleveland, OH • On-site

Full-time

Re-posted 8 days ago

Job description

Sr. Backend AI Engineer 
 
Location: Cleveland, OH  
 
Role Overview Move beyond traditional ETL. At BrightEdge, we are rebuilding our core data infrastructure into an AI-augmented processing engine. We’re looking for a Senior Backend Engineer to architect "intelligent" systems that don't just move data, but understand it. You will build self-healing pipelines and agentic workflows that allow our platform to autonomously adapt to complex, shifting data landscapes.  
 
What You’ll Do 
 
Architect Agentic Pipelines: Build Python-based backend systems that utilize LLMs and AI agents to automate the discovery, parsing, and mapping of unstructured data. 
Build Self-Healing Infrastructure: Develop autonomous reliability layers that diagnose upstream failures, adapt to API schema changes, and perform real-time data validation without manual intervention. 
Optimize High-Velocity Analytics: Design and manage low-latency data flows into ClickHouse and BigQuery, ensuring our AI-driven insights are backed by high-performance OLAP architecture. 
Scale Intelligent Connectors: Create robust integrations (APIs, Streaming, S3) that leverage AI to handle diverse, non-standardized data sources at massive scale. 
Engineering Leadership: Drive best practices in AI-assisted testing and observability, mentoring the team on the intersection of traditional backend stability and modern AI capabilities.  
 
What You Bring 
 
5+ years experience with Bachelor's degree in Computer science, Software Engineering
Python & AI Mastery: Deep expertise in production-level Python. You’ve successfully integrated AI models/LLMs into backend services or data workflows. 
OLAP Power User: Proven experience with ClickHouse, BigQuery, or Snowflake, specifically in schema optimization and materialized views for large-scale datasets. 
Distributed Systems Expertise: Strong background in cloud environments (GCP/AWS) and real-time streaming tools like Kafka, Flink, or Spark. 
Adaptive Mindset: You don't just build to a spec; you build systems that anticipate and recover from environment changes autonomously. 
Product Ownership:A track record of leading high-impact initiatives and a desire to own the "brain" of a global data platform