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Data Platform Engineer

Job

Q One Inc.

Remote

Full-Time

Posted 6 days ago (Updated 3 days ago) • Actively hiring

Expires 7/22/2026

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Job Description

Data Platform Engineer at Q One Inc. Data Platform Engineer at Q One Inc. in Valencia, California Posted in 1 day ago.

Type:

full-time

Job Description:

Senior Data Platform EngineerQ One -

Market Intelligence Operating System Location:

Remote Employment Type:

Full-Time Compensation:

Competitive Salary + Equity + Performance Bonus About Q One Q One is building an AI-powered Market Intelligence Operating System designed to transform market, economic, and alternative data into actionable intelligence. We are seeking a Senior Data Platform Engineer to design, build, and operate the infrastructure that powers our real-time analytics, AI systems, quantitative research environment, and institutional data platform. This role is responsible for ensuring Q One's data infrastructure remains scalable, reliable, secure, and capable of supporting billions of records and real-time market intelligence workloads. Responsibilities Design and build scalable data platform infrastructure. Develop real-time and batch data processing pipelines. Build cloud-native architectures supporting market intelligence workloads. Optimize storage, compute, and data retrieval performance. Implement data orchestration and workflow automation. Design highly available distributed systems. Manage observability, monitoring, alerting, and reliability engineering. Build infrastructure supporting AI, machine learning, and quantitative research. Collaborate with market data, financial data, and quantitative engineering teams. Establish best practices for scalability, security, and platform reliability. Must-Have QualificationsData Engineering Strong experience with: Apache Kafka Apache Spark Apache Flink Airflow

ETL / ELT

Architecture Streaming Data Pipelines Cloud Infrastructure Expertise in: AWS Azure GCP Strong understanding of: Kubernetes Docker Terraform Infrastructure as Code Storage & Databases Experience with: Snowflake Databricks ClickHouse PostgreSQL Redis Delta Lake Apache Iceberg Programming Strong proficiency in: Python SQL Experience with one or more: Java Scala Go Rust Reliability Engineering Experience with: Monitoring & Alerting CI/CD Pipelines Platform Security Disaster Recovery High Availability Systems Strongly Preferred Previous experience at: Databricks Snowflake Netflix Uber Airbnb Stripe Confluent Palantir Bloomberg Two Sigma OR Graduates from: Carnegie Mellon MIT Stanford Berkeley Georgia Tech UIUC University of Washington What Success Looks LikeFirst 30 Days Deploy scalable cloud infrastructure. Build production-ready streaming architecture. Implement platform monitoring and observability. Establish CI/CD and deployment standards. First 6 Months Support billions of market and financial data records. Maintain high platform reliability and performance. Enable AI and quantitative teams to access data seamlessly. Build a platform capable of supporting institutional-scale market intelligence operations. Ideal Candidate You are obsessed with scalability, reliability, and performance. You understand how to build systems that remain fast and resilient as data volumes grow exponentially. You enjoy solving complex infrastructure challenges and creating platforms that engineers, researchers, and AI systems depend on every day.