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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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.
$100 - $130/hr
... managed services, databases, networking, and customer workloads. Our mission is to provide a ... Experience using ClickHouse in production Benefits & Perks: * Competitive compensation * Career ...
$100 - $130/hr
... managed services, databases, networking, and customer workloads. Our mission is to provide a ... Experience using ClickHouse in production Benefits & Perks: * Competitive compensation * Career ...
Manager Clickhouse information
What is the difference between Manager Clickhouse vs Data Engineer?
| Aspect | Manager Clickhouse | Data Engineer |
|---|---|---|
| Primary Focus | Oversees Clickhouse database management, team coordination, and strategy | Designs, develops, and maintains data pipelines and infrastructure |
| Required Skills | Database administration, team leadership, project management | ETL processes, SQL, programming, data modeling |
| Certifications | Database management, cloud certifications, project management | Data engineering, cloud, and programming certifications |
| Work Environment | Management, strategic planning, team collaboration | Technical 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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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
About BrightEdge
Sourced by ZipRecruiter
Industry
Software development
Company size
501 - 1,000 Employees
Headquarters location
Foster City, CA, US
Year founded
2007